TFSF Ventures  ×  Operational Intelligence

Portfolio AI Infrastructure for FSN Capital Partners

Founded in 1999. €4 billion under management. 30 portfolio companies across Northern Europe and DACH. The FSN Execution Framework — modeled on the Danaher Business System — already drives disciplined value creation from onboarding through exit. What follows is a proposal to add an AI infrastructure layer to that framework: a centralized AI Command Center for the operating team, a full pilot deployment into ecovium, and hub-and-spoke connectivity across all 30 portfolio companies — designed to amplify what FSN Capital has already built.

Prepared by TFSF Ventures FZ LLC  ·  Confidential  ·  Munich · Oslo · Stockholm · Copenhagen  ·  tfsfventures.com
€4B
Assets Under Management
30
Portfolio Companies
12+
PE Operating Agents
30
Hub-and-Spoke Connections

The Value Creation Infrastructure Opportunity

Johannes, your contact form submission and assessment told us exactly what you're looking for: understand TFSF Ventures' capabilities and see if there's a fit for value creation across your 30 portfolio companies — and specifically, explore AI deployment for ecovium to streamline operations, reduce manual work, automate onboarding, scale revenue without scaling team size, and speed up workflows. This proposal is built to answer both of those questions. The FSN Execution Framework is already producing results across the portfolio. This adds an AI infrastructure layer to that foundation.

30
Portfolio Companies Under Active Management
4
Offices · Oslo · Stockholm · Copenhagen · Munich
5
ecovium Divisions · Warehouse · Shipping · Transport · Customs · Hardware
5,000+
ecovium Customers Across 30+ Countries

Why hub-and-spoke. Rather than building 30 separate agent deployments, we propose a centralized AI Command Center at the FSN Capital operating team level — the hub — with lightweight data connections extending into each portfolio company. The hub handles portfolio monitoring, reporting, due diligence support, financial consolidation, and value creation tracking. Each portfolio company connects through 1–2 lightweight agents that push operational data up and receive FEF directives down. We phase this deliberately: Phase 1 builds the hub and proves the model on ecovium so you can see it working before we connect the rest of the portfolio in Phase 2. We want you to be comfortable with us and comfortable with the output before we go full-bore.

Hub-and-Spoke Architecture — FSN Capital Portfolio
FSN AI Command Center
12 Operating Agents · Real-Time Portfolio Intelligence
DATA UP
DIRECTIVES DOWN
ecovium
PILOT · 8 Agents
Fellowmind
Firesafe
Gram Equipment
Håndverksgruppen
Holmbergs
ilionx
IMPREG
Installatørgruppen
Lobster
MEGABAD
Nordlo
OptiGroup
papperts
Stripe Hog
TASKING
Uhl Bau
ViaCon
Volue
BoldR Group
PortCos 21–30
20 current portfolio companies identified from fsncapital.com. ecovium receives full pilot deployment in Phase 1. All portfolio companies connect to the hub in Phase 2.

Agent Architecture — Three Pillars, Two Layers

This architecture was designed from the combination of your contact submission, the ecovium operational assessment, and our understanding of how PE operating teams drive value creation at the fund and portfolio company level. Pillar 1 serves the FSN Capital operating team directly — the intelligence that compounds across 30 companies. Pillar 2 deploys into ecovium against the six operational goals identified in the assessment. Pillar 3 is the connective tissue that links every portfolio company to the hub.

1
FSN Capital Operating Layer — 12 Agents
Portfolio Performance Monitor
Aggregates KPIs from all 30 portfolio companies into a single real-time command view — revenue, EBITDA, headcount, cash position, customer acquisition cost, churn, and custom metrics per portco. Flags performance variance against plan, surfaces trends ahead of quarterly board reviews, and generates automated variance commentary. The operating team gets a live portfolio picture without waiting for individual company reporting cycles to complete.
Portfolio Intel
Due Diligence Accelerator
Automates data room analysis for new deal flow — ingests financial statements, customer concentration data, competitive landscape materials, and management presentations. Generates standardized assessment summaries against FSN's investment criteria. Compresses the initial screening phase from days to hours per target so the deal team can evaluate more opportunities in the same time frame.
Deal Flow
Value Creation Tracker
Maps every FEF initiative to measurable outcomes across every portfolio company. Tracks implementation progress, milestones achieved, EBITDA impact attributed to each initiative, and time-to-value. The operating team can see — in real time — which value creation levers are pulling across which companies, and which initiatives are stalling. This is the accountability layer for the entire FSN Execution Framework.
FEF Tracking
LP Reporting Agent
Automates quarterly investor communications — pulls portfolio performance data, formats it against LP reporting templates, generates fund-level performance summaries, and drafts narrative commentary for review. Reduces LP reporting cycle from weeks of manual assembly to a review-and-send process. Maintains consistency across reporting periods and ensures every data point traces back to source.
Investor Comms
Financial Consolidation Agent
Pulls financial data from portfolio companies into standardized reporting for the fund level — normalizes chart of accounts across industries and geographies, reconciles reporting periods, and generates consolidated views. Handles the complexity of 30 companies across multiple currencies (NOK, SEK, DKK, EUR), accounting standards, and fiscal year-ends. Eliminates the spreadsheet reconciliation burden that scales linearly with portfolio size.
Fund Finance
Board Pack Generator
Pulls portfolio company data feeds into board meeting materials automatically — financial summaries, operational KPIs, management commentary, FEF initiative progress, and risk flags. With 30 companies on quarterly board cycles, that represents approximately 120 board packs per year. This agent generates the data-driven sections and flags items requiring attention, freeing the operating team to focus on strategic input and direct engagement with portco management rather than document assembly.
Board Prep
Deal Pipeline Screener
Evaluates inbound and sourced deal flow against FSN Capital's investment criteria — sector fit, geography, enterprise value range, margin profile, growth trajectory, and buy-and-build potential. Scores and ranks targets, identifies overlap with existing portfolio for potential bolt-on acquisitions, and surfaces deals that match active investment themes. Ensures no high-fit opportunity goes unscreened regardless of deal team bandwidth.
Origination
Add-on Acquisition Intelligence
Identifies bolt-on acquisition targets for existing portfolio companies — monitors market activity, tracks competitor movements, flags distressed assets in adjacent segments, and maps consolidation opportunities. FSN's buy-and-build strategy is core to value creation. This agent ensures the pipeline of add-on targets is always populated and ranked by strategic fit, without requiring the deal team to manually scan each portco's competitive landscape.
Buy & Build
Portfolio Onboarding Agent
Standardizes the 100-day plan every time FSN acquires a new company — generates onboarding checklists mapped to the FSN Execution Framework, schedules management team touchpoints, initiates data integration with the hub, and tracks first-100-day milestones. Ensures every new acquisition receives the same disciplined onboarding regardless of which operating team member leads the transition.
Onboarding
ESG & Compliance Monitor
Tracks environmental, social, and governance metrics across the entire portfolio — carbon reporting, diversity metrics, compliance certifications, and regulatory obligations by jurisdiction. FSN Capital is publicly committed to responsible investing and has been shortlisted for ESG awards. This agent ensures ESG reporting is continuous and auditable, not a quarterly scramble, and surfaces compliance risks before they become LP concerns.
ESG
Talent Intelligence Agent
Tracks management team composition, key hires, departures, and bench strength across all 30 portfolio companies. Surfaces leadership gaps, succession planning needs, and compensation benchmarking data. Provides a portfolio-wide view of talent health so the operating team has visibility across all 30 management teams — not one company at a time during quarterly reviews.
Talent
Operating Team Knowledge Base
Centralizes all FEF playbooks, best practices, initiative templates, and deployment learnings so the operating team scales without scaling headcount. When a pricing optimization works at one portco, the playbook is captured and searchable for the next. When an ERP migration creates lessons learned, they feed into the knowledge base automatically. This is institutional memory for value creation — the compound advantage that grows with every engagement.
Knowledge
2
ecovium Pilot Deployment — 8 Agents
ecovium is a multi-division logistics SaaS company headquartered in Neustadt am Rübenberge, Germany, serving 5,000+ customers across 30+ countries. Five divisions: Warehouse Management, Shipping Logistics, Transport Management, Customs & Compliance, and Hardware & Infrastructure. The Mantis Group subsidiary has been recognized in the Gartner Magic Quadrant for Warehouse Management Systems six consecutive times. Your ecovium assessment identified six goals: streamline operations and reduce manual work, reduce headcount costs or reallocate staff, automate client intake or onboarding, scale revenue without scaling team size, speed up internal workflows and approvals, and explore AI but not sure where to start. The following 8 agents map directly to those goals.
Customer Onboarding Orchestrator
Automates the end-to-end customer onboarding process across all five ecovium divisions — from initial contract signing through system configuration, data migration scheduling, training coordination, and go-live readiness checks. With 5,000+ customers across multiple product lines, onboarding complexity scales with division count. This agent standardizes the process, reduces manual handoffs between divisions, and ensures every customer receives the same onboarding quality regardless of which product they purchased.
Onboarding
Cross-Division Workflow Engine
Routes internal approvals, handoffs, and escalations across ecovium's five divisions automatically. When a customer request spans Warehouse and Transport — or when a Customs compliance issue affects Shipping operations — this agent ensures the right team sees it, routes it through the correct approval chain, and tracks resolution time. Eliminates the cross-divisional bottlenecks that multi-division organizations experience when teams operate in silos.
Workflows
Support Ticket Intelligence
Classifies, prioritizes, and routes inbound support tickets across all product lines — Warehouse, Shipping, Transport, Customs, and Hardware. Identifies recurring issues by product and division, flags tickets approaching SLA breach, and auto-generates first-response drafts for common request types. At 5,000+ customers generating support volume across five product lines, intelligent triage reduces average resolution time and prevents high-priority tickets from being lost in queue.
Support
Revenue Expansion Agent
Identifies cross-sell and upsell opportunities across ecovium's customer base — a Warehouse-only customer with high shipping volume is a Shipping prospect, a Customs customer expanding internationally needs Transport. Scores existing accounts by expansion potential and surfaces qualified opportunities to the sales team with account context already assembled. At 5,000+ customers across five divisions, the cross-sell surface area is significant and currently dependent on account managers recognizing patterns manually.
Revenue
Compliance & Customs Monitor
Monitors regulatory changes affecting ecovium's Customs & Compliance division — sanctions list updates, tariff changes, export control modifications, and new trade compliance requirements across the jurisdictions ecovium serves. Flags changes that affect customer configurations and generates impact assessments. In foreign trade compliance, a missed regulatory change can expose customers to penalties. This agent ensures ecovium stays ahead of every change across every market.
Compliance
Multi-Location Performance Dashboard
Aggregates operational metrics across ecovium's 21 locations into a single view — ticket volume, resolution time, customer satisfaction, revenue per location, staffing levels, and product utilization rates. Identifies which locations are outperforming and which need attention, enabling management to act on data rather than quarterly reports. This is the operational visibility layer that a 21-location, multi-country SaaS company requires and rarely has in one place.
Analytics
Implementation Project Tracker
Tracks active customer implementation projects across all divisions — milestone status, resource allocation, timeline adherence, and risk flags. WMS implementations alone (via Mantis) span 30+ countries with varying complexity. This agent gives management real-time visibility into the entire implementation pipeline, surfaces projects at risk of delay before deadlines pass, and ensures resource allocation matches project priority.
Delivery
Hub Data Feed Agent
The connective tissue between ecovium and the FSN AI Command Center. Pushes standardized KPI data — revenue, EBITDA, headcount, customer metrics, implementation pipeline status, and support health — up to the hub on a defined cadence. Receives FEF directives, benchmark data, and action items from the hub. This is the first spoke in the hub-and-spoke architecture and the template that all 29 remaining portfolio companies will replicate in Phase 2.
Hub Link
3
Portfolio Connectivity — 29 Spoke Connections (Phase 2)
Each remaining portfolio company receives 1–2 lightweight agents that connect it to the FSN AI Command Center. The hub already has all the intelligence built in Phase 1. Phase 2 extends the nervous system to every extremity.
PortCo Data Feed Agent
Deployed into each portfolio company. Pushes standardized operational and financial data up to the FSN AI Command Center — revenue, EBITDA, headcount, key operational KPIs specific to the portco's industry, and management-flagged items. Data format is normalized by the hub regardless of the portco's internal systems, accounting standards, or reporting cadence. The operating team sees all 30 companies in one view, one format, updated continuously.
Data Up
FEF Directive Agent
Receives value creation directives, benchmark data, best practice recommendations, and action items from the hub and delivers them to the portfolio company's management team in a structured, trackable format. When the operating team identifies a pricing optimization that worked at one portco, this agent delivers the playbook to the next candidate. When a board resolution requires management action, this agent tracks completion. The feedback loop between fund-level strategy and portco-level execution becomes automated and auditable.
Directives Down

What AI Infrastructure Adds to a PE Operating Model

The left column reflects common operating patterns across mid-cap PE firms managing 20–40 portfolio companies — based on published frameworks from PwC, McKinsey, and Bain. These may or may not match how FSN Capital operates today. The right column shows what the AI Command Center delivers regardless of current workflow.

Industry-Standard PE Operating Patterns

Portfolio performance data typically collected from individual companies across varying formats, currencies, and reporting cadences

LP reporting generally assembled quarterly from individual portco data sources and fund-level financials

Value creation initiatives commonly tracked by operating team members across portcos through structured frameworks

Board packs typically prepared individually for each portfolio company's quarterly review cycle

Cross-portco best practices generally shared through direct operating team engagement and methodology

Add-on acquisition opportunities typically sourced through deal team networks and operating team industry knowledge

ESG metrics commonly tracked and reported on a periodic basis as part of LP commitments

With AI Infrastructure Added

All 30 portcos feeding standardized data into one command view — real-time, normalized, comparable across the entire portfolio

LP reports pre-assembled from live data — the operating team reviews and refines rather than builds from scratch

FEF initiatives tracked against measurable outcomes automatically — what's working where is visible in real time

Board packs pre-generated from data feeds — 120 packs per year shift from assembly to review and strategic annotation

Knowledge base captures every playbook and lesson learned automatically — searchable, replicable, always growing

Add-on acquisition scanner running continuously across all portco market adjacencies — always-on pipeline supplement

ESG and compliance metrics monitored continuously — reporting becomes a pull from the system, not a periodic build


FSN Capital AI Command Center

Real-time visibility across all 30 portfolio companies — every KPI, every initiative, every risk flag, every data feed — from one command center built around the FSN Execution Framework.

FSN Capital
J. Brunner · Sr. Operating Director
Operational
12 PE Agents · 30 PortCos · Powered by Pulse AI
312
Tasks Today
99.6%
Uptime
€117,400
Saved (30D)
214
Hours Saved
Per Week
8,247
Tasks
This Month
30/30
PortCos
Connected
98.2%
Auto
Resolution
€117.4K
Savings
(30 Days)
99.6%
Agent
Uptime
0.6%
Escalation
Rate
Live Activity
Just nowecovium — Q1 revenue +8.2% vs plan — KPI feed updated — no action requiredPORTFOLIO
3m agoNordlo Group — CTO departure flagged — talent risk alert elevated to operating teamTALENT
7m agoDeal pipeline — Stripe Hog add-on target scored 87/100 strategic fit — forwarded to deal teamBUY & BUILD
12m agoBoard pack auto-generated — Active Brands AS — Q1 review — 14 pages — ready for reviewBOARD
18m agoecovium — support ticket volume -14% MoM — onboarding agent attribution confirmedECOVIUM
24m agoESG monitor — 3 portcos require updated carbon reporting by Q2 — action items generatedESG
31m agoFEF tracker — pricing optimization initiative at PortCo 14 delivered +3.1% margin — playbook capturedFEF
Agent Fleet22 agents · 3 pillars
FSN Capital Operating Layer
Portfolio Monitor● Active
47TODAY
2,89130D
99.8%
DD Accelerator● Active
8TODAY
34030D
99.4%
FEF Tracker● Active
34TODAY
1,92030D
99.6%
LP Reporting● Active
12TODAY
68030D
99.9%
ecovium Pilot
Onboarding● Active
23TODAY
1,44030D
99.2%
Workflow Engine● Active
56TODAY
3,12030D
99.5%
Support Intel● Active
41TODAY
2,68030D
99.3%
Revenue Expand● Active
15TODAY
89030D
99.7%

The Investment — Prove It First, Then Scale Together

We phase this deliberately. Phase 1 builds the hub and proves the model on ecovium so you can evaluate the output, see the quality of the work, and confirm it meets your standards before we connect the rest of the portfolio. Our published timelines tend to be conservative — we typically deliver ahead of schedule because our build engine moves fast. But we'd rather over-deliver on time than over-promise.

Phase 1 — Build the Hub + Prove the Model
$135,000
Billed in three installments:
$54,000 (40%) at kickoff
$40,500 (30%) at midpoint milestone
$40,500 (30%) at go-live
12 PE operating agents at the FSN Capital level. 8 agents into ecovium as the pilot. Hub infrastructure built. Portfolio AI Readiness Framework delivered. First spoke connected and validated. 40 days from kickoff (we typically deliver ahead of this).
Phase 2 — Connect the Portfolio
$90,000
Once you've validated the hub and the ecovium pilot meets your expectations, we connect the remaining 29 portfolio companies. 1–2 lightweight agents per portco. Data feeds normalized, FEF directive channels activated. The hub intelligence is already built — Phase 2 extends connectivity. 6–8 weeks, and the same installment structure applies.
Total engagement: $225,000 · ~$800/month infrastructure after deployment

Industry Benchmark: The Operational Math

What the AI Command Center handles, what those functions typically cost at the industry level based on published PE compensation and advisory benchmarks, and what the potential impact looks like. These are industry reference points — the kickoff call builds them on your actual numbers.

Portfolio Monitoring & Reporting
Agents handle real-time KPI aggregation across 30 portfolio companies, LP report generation, board pack assembly, and financial consolidation — eliminating the manual data collection cycle.
At a €4B fund with 30 portfolio companies, portfolio monitoring and reporting typically requires 2–4 dedicated analysts plus significant operating team time. In the European PE market, finance and reporting analysts at this level command €80K–€120K fully loaded per head. LP reporting alone consumes 3–4 weeks of team time per quarter. Board pack assembly across 30 companies at quarterly cadence represents 120 document assemblies per year — each requiring data collection, normalization, and narrative drafting. Agents handle the data assembly, freeing the operating team for strategic analysis.
€240K–€480K
Annual reporting & monitoring staff at 2–4 analysts fully loaded
Due Diligence & Deal Pipeline
Agents handle initial deal screening, data room analysis, add-on acquisition scanning across all portfolio companies, and standardized target assessment — accelerating the front end of every transaction.
Industry data indicates that AI-powered deal screening reduces processing costs by up to 70% with 50% reductions in assessment time. For a mid-cap PE fund evaluating dozens of targets annually plus add-on opportunities across 30 portfolio companies, external commercial due diligence and screening consultants typically cost €150K–€400K per year. The Deal Pipeline Screener and Add-on Acquisition Intelligence agents handle the initial filter, ensuring the deal team spends its time on qualified opportunities rather than preliminary screening.
€150K–€400K
Annual external screening & DD advisory costs
ecovium Pilot — Operational Efficiency
Agents handle customer onboarding orchestration, cross-division workflow routing, support ticket intelligence, compliance monitoring, and revenue expansion identification — across 400 employees and 5 divisions.
Multi-division SaaS companies at ecovium's scale typically allocate 6–10 FTEs to the functions these 8 agents address — onboarding coordination, internal workflow management, tier-1 support triage, compliance monitoring, and cross-sell identification. In the German market, these roles command €55K–€75K fully loaded per head. The cross-sell agent alone, operating across 5,000+ customers and five product lines, can identify expansion revenue that manual account management misses. Conservative estimate: agents replace or augment 4–6 FTEs while surfacing revenue opportunities that justify the remaining operational math.
€220K–€450K
Annual staffing equivalent + revenue expansion at ecovium
Total Addressable Annual Impact (Industry Benchmarks)
Combined industry-benchmarked cost equivalents for portfolio monitoring and reporting functions, due diligence and deal screening, and ecovium operational efficiency. These are reference ranges from published PE compensation surveys and advisory rate benchmarks — not assumptions about FSN Capital's current spend. The kickoff call establishes your actual baseline so we can project ROI against real numbers, not estimates.
€610K–€1.3M
Annual impact · Year 1
5× – 11× ROI
On Phase 1 investment
* Industry benchmarks sourced from Heidrick & Struggles PE Operating Professional Compensation Survey, Robert Half European Financial Services Salary Guide 2025, Glassdoor aggregates for Oslo/Stockholm/Copenhagen/Munich markets, StepStone Germany for logistics SaaS staffing, and PwC/McKinsey published engagement ranges for mid-cap PE due diligence. All projections are industry reference points and will be refined during the kickoff call based on your actual numbers.
Time Recovery — Hours Returned to Leadership Per Month
Based on industry benchmarks for PE operating teams managing 20–40 portfolio companies, the following roles typically spend significant monthly hours on functions that the AI Command Center automates. You can't put a price on what leadership does with recovered time — but you can measure how much of it comes back.
CFO / Sr. Operating Director
LP reporting, financial consolidation, board pack data, portfolio KPI normalization
35–50
hrs/mo
Managing Partners
Portfolio review prep, deal pipeline oversight, fund performance summaries
15–25
hrs/mo
Operating Partners / Directors
FEF tracking, value creation reporting, best practice documentation
20–35
hrs/mo
Deal Team Principals
Deal screening, data room analysis, add-on target identification
15–25
hrs/mo
ESG & Compliance Lead
Cross-portfolio ESG data, compliance monitoring, LP sustainability reporting
10–15
hrs/mo
ecovium Management Team
Workflow oversight, support triage, onboarding, compliance, implementation
25–40
hrs/mo
Every hour recovered goes directly back to strategic analysis, direct portco engagement, deal execution, and value creation — the work that moves the fund forward. Industry benchmarks from PwC PE Operating Partner Study, Bain Global PE Report 2025, and McKinsey PE Operations Survey.

Phase 2 only happens when you're ready. The reason we structure this in two phases isn't complexity — it's trust. Phase 1 gives you a working AI Command Center and a live pilot in ecovium. You evaluate the quality. You measure the output against your standards. You confirm it does what we say it does. Only then do we connect the remaining 29 portfolio companies. And once all 30 are connected and data is flowing, individual portcos that want deeper deployments — their own full agent architectures like ecovium — become separate conversations built on proven results. We'd rather earn the expansion than assume it.


Deployment Timeline — Phase 1

Phase 1 builds the FSN AI Command Center and deploys the ecovium pilot simultaneously. The timeline below shows 40 days — our timelines tend to be conservative because we'd rather deliver early than miss a deadline. Our build engine moves fast, and we typically compress these milestones in practice. Phase 2 timeline is scoped together after Phase 1 results are validated to your satisfaction.

Days 1–7

Discovery & Operating Model Mapping

Two tracks running in parallel. Track 1: Map FSN Capital's operating team workflows — portfolio monitoring cadence, LP reporting process, board pack assembly, FEF implementation methodology, and deal flow screening. Track 2: Map ecovium's five-division structure — onboarding process, cross-division workflow, support triage, compliance monitoring, and customer expansion identification. Both tracks produce the agent specification documents for review and approval.

Days 8–14

Architecture & Integration Design

Design all 20 Phase 1 agents (12 PE layer + 8 ecovium), define data flows between the hub and the first spoke, map integration points to FSN's existing portfolio monitoring tools and ecovium's operational systems, and configure the hub-and-spoke data architecture. Both teams review and approve before build begins.

Days 15–30

Build, Configure & Sandbox Test

All 20 agents built against FSN Capital's real portfolio data structures and ecovium's real operational data. PE agents tested against historical LP reporting data, board pack formats, and portfolio KPIs. ecovium agents tested against real customer onboarding flows, support ticket data, and cross-division routing scenarios. Full sandbox validation before anything touches live systems.

Days 31–37

Live Pilot — Hub + ecovium First Spoke

Deploy the FSN AI Command Center with live portfolio data feeds. Simultaneously activate all 8 ecovium agents. Validate every output against FSN's quality standards and ecovium's operational requirements. Measure data accuracy, reporting speed, agent resolution rate, and hub-spoke connectivity. Refine before broader connectivity.

Days 38–40

Operating Team Training & Phase 2 Scoping

Training sessions for the FSN operating team (hub navigation, agent oversight, FEF integration) and ecovium management (division-specific agent interaction, hub data feed review). Portfolio AI Readiness Framework delivered — the scoring engine that maps all 30 portfolio companies into Phase 2 connection priority. Phase 1 is fully operational.

Next Step: Let's Talk

Everything in this proposal is built from your two submissions and publicly available information about FSN Capital and ecovium. It's a starting point — not a final scope.

The kickoff call turns industry benchmarks into your actual numbers.

A 30-minute call with our CEO will walk through three things: how your operating team currently handles portfolio monitoring and reporting, ecovium's specific operational data for pilot scoping, and any integration requirements or constraints. From there we finalize the scope together. Pick a time below — all times are CET for your convenience.

We'll work around your schedule.

FSN Capital — Kickoff Call Scheduling
6 questions · under 2 minutes · locks your kickoff time