AI Efficiency Program
Structured AI adoption
in every corner of your business.
A top-down assessment talks to 50 people. We reach every layer. Three-channel discovery, persistent intelligence layer, day-30 go/no-go gate. For marketplace groups, financial services, and post-IPO scaleups that want AI adoption structured — not pattern-matched.
⏱ 30 min · 🇪🇺 EU-based · 🔒 NDA-first · 📍 Online
Who this is for
Marketplace & platform groups
Multi-vertical digital businesses (real estate, automotive, classifieds, finance) running 5-15 brands on shared central functions. Typical question: where do we centralize AI vs. let each vertical move independently?
Financial services & insurance
Banks, insurers, asset managers facing AI replacement pressure across vendors (KYC, claims, underwriting, internal helpdesk). Regulatory-aware engagement with EU data residency by default.
Post-IPO scaleups & digital enterprises
Companies 500-5,000 employees with central functions (Finance, HR, Legal, Marketing, Customer Care) under cost-efficiency pressure from the board. AI as a margin lever, not a tech experiment.
Regulated industries (pharma, energy, telco)
Where AI adoption is gated by governance, not technology. We bring the compliance-aware operating model that lets internal teams move without breaking audit trails or DMA/MiCA/MDR exposure.
Different shape? Book the call anyway — we'll be honest if we're not the right fit.
Three channels. One synthesis. No guessing.
A top-down assessment talks to executives, triangulates, benchmarks, and ships a 200-page deck. The other 850 employees do the actual workflows. The real AI ROI lives there. Three channels, cross-validated, surface it.
Deep interviews
30-50 key roles across ELT, vertical MDs, functional heads, and critical operators. 60-90 minutes, semi-structured, two-interviewer sessions. AI-transcribed and coded against an opportunity ontology. DE, EN, FR, IT.
AI-driven async surveys
Targeted 5-7 minute prompts across your full workforce in their language. A conversational AI agent that adapts follow-up questions based on first responses. No multiple-choice fatigue. No survey-template feel.
Passive telemetry
Read-only signals from systems already in use. Calendar density, document repetitive-open patterns, email response variance, support ticket clustering. No new tools deployed. Validates or contradicts what people report.
Synthesis is the work. Three channels in isolation produce three biased pictures. Cross-validated, they produce a map of where workflows actually live.
The deliverable: a persistent intelligence layer.
Not a 200-page deck that ages out in six months. The Google Maps for navigating your AI transformation internally — interactive, source-attributed, persistent. Updateable by your teams after we leave. Not killed by the project end-date.
You see, at any level of zoom
- • Heatmaps of efficiency opportunities by BU and function
- • Knowledge graphs of cross-vertical workflow dependencies
- • A catalogue of 100-300 ranked opportunities, filterable by effort, impact, time-to-value
- • Source attribution: every opportunity linked to the interview, telemetry, or document that produced it
You use it from CEO to team lead
- • CEO: macro heatmap, identify the 3-5 strategic clusters
- • CFO: filter by savings under 6 months, effort under €500k, build business case
- • BU Managing Directors: drill into verticals, see dependencies
- • Group Security & Trust: cross-BU unification opportunities at a glance
Eight weeks plus six. First 30 days as proof.
The program runs in two fixed-scope phases with a shared go/no-go gate at day 30. If the proof falls short, we stop. No fee for Phase II. Implementation (Phase III) is its own decision — yours, with our embedded steering, or ours.
Potentials, Feasibility & Prioritization
8 weeks
Days 1-30: deep-dive pilot on one business unit, three-channel reach, operator validation, first intelligence layer instantiation. Day 30: shared go/no-go gate. Days 31-56: scope expansion to remaining BUs and central services, full intelligence layer build.
Implementation Planning
6 weeks
Prioritization framework applied: effort × impact × dependencies × business calendar. Implementation governance design: roles, cadence, tracking mechanisms. Resourcing and operating model for your internal execution. Culture transformation approach: upskilling, change management, technical support.
Implementation & Monitoring
Continuous
Roll-out by your internal teams (with our embedded steering) or by our delivery team. Quarterly stewardship reviews. KPI tracking against the Phase II business case. The intelligence layer remains live and updateable.
The day-30 go/no-go gate is real. If the first-month proof of method falls short, the engagement stops and there is no fee for Phase II. Risk shifted from your procurement committee to us.
How engagement starts
1. Book the discovery call
30 minutes, online. Bring your context: org size, existing AI initiatives, the pressure that triggered this conversation (board ask, post-IPO efficiency mandate, vendor cost-cut, M&A integration debt).
2. Tailored scoping document within 5 business days
You receive a proposed Phase I shape for your organization: team setup, timeline against your business calendar, fixed-price quote, day-30 gate definition. Yours to use even if we do not move forward.
3. Phase I kickoff
Workshop with your steering committee — typically Group Strategy, CFO office, CTO/CIO, Heads of Functions. NDA-first. Three-channel discovery begins day 1.
4. Day 30 — shared go/no-go decision
You see the first intelligence layer instantiation. We see whether the proof holds. If it does not: we stop, no Phase II fee, the Phase I deliverable is yours. If it does: scope expands.
Frequently asked questions
- How is this different from McKinsey, BCG or Bain?
- A top-down assessment talks to 50 people. We reach every layer — deep interviews, AI-driven async surveys across the full workforce, passive telemetry from systems already in use. Three channels, one synthesis, no guessing. The deliverable is a persistent intelligence layer your teams keep updating, not a 200-page deck that ages out in six months.
- How long does Phase I take?
- 8 weeks. Days 1-30 deep-dive pilot on one BU + go/no-go gate. Days 31-56 scope expansion to remaining BUs and central services. Phase II planning is 6 weeks on top. Total 14 weeks. We have delivered the same shape within a December/January deadline.
- What does the deliverable actually look like?
- A persistent intelligence layer — heatmaps by BU and function, knowledge graph of cross-vertical workflow dependencies, 100-300 ranked opportunities filterable by effort/impact/time-to-value, source attribution on every node. Used from CEO (macro heatmap) to BU MD (drill-down) to Group Security & Trust (cross-BU unification).
- Do you handle Phase III implementation?
- Either by your internal teams with our embedded steering, or by our delivery team. Most enterprise clients run Phase III in-house using the roadmap and keep us as a quarterly steering partner. No multi-year retainer lock-in.
- Can you work alongside our existing AI stack (watsonx, Copilot, internal LLMs)?
- Yes. Phase I explicitly inventories every current AI initiative and vendor, identifies redundancy across BUs, recommends consolidation versus expansion. Vendor-neutral by design — we surface replacement candidates that save you money, not ones that pay us.
- Data security, GDPR, regulated industry requirements?
- Phase I happens at process and workflow level — no production data required. NDAs signed before any data discussion. Tooling GDPR-compliant and EU-hosted by default. Financial services, insurance, telco, pharma: we work within your existing data-residency, audit-trail, and security-review patterns.
30 minutes to see if the program fits.
No deck. No pitch. A structured conversation about your AI efficiency mandate and whether we are the right partner.
Book your discovery callPrefer email first? Reach us here.