We help companies transform their operations with AI. We diagnose where AI actually moves your P&L, pick the right tech and AI partners across the market — vendor-agnostic, no allegiances — and ship them live in production in ninety days. Or we keep working until they are. One methodology across every engagement: The Grid Operating System.
We do one thing. We diagnose where AI moves your P&L, then we ship the two or three interventions that matter — live in production, not in a deck. One operating discipline, end to end. No army of juniors, no scope creep.
Interview-led, operator-driven, vendor-neutral. We map your operations against the AI use cases that compound — not the ones that look good in a deck. You leave with a costed roadmap your CEO and Operating Partner sign in the room.
We embed with your operations and go-to-market org to ship the prioritised bets. Buy-then-orchestrate by default — thin wrappers on the tools you already license. Custom only where data, moat or unit economics earn it. We design ourselves out before we leave.
Every diagnostic places your business against a cross-portfolio benchmark of peer scale-ups — twelve dimensions, sixty scored items, anchored rubrics. You see not just where to go, but where you actually stand against the companies your investors already back.
Scale-ups building AI-native operations from the start, mid-market leaders putting AI into established functions, and PE-backed portfolios where the operating partner needs the same playbook across multiple companies. Different industries. The operating discipline does not change.
B2B SaaS and tech-enabled services, €15–80M ARR. The next inflection depends on how much your team can run with fewer people and more leverage. We embed, audit, ship the two or three interventions that compound — and leave you with the system, not the consultants.
Established companies (€100M–1B revenue) putting AI into ops, support, revenue and back-office without rebuilding the whole house. We help you pick the right tech and AI partners across the market, then ship the work in production — not as a deck for the steering committee.
Operating Partners running AI value creation across multiple portcos. We run the diagnostic once, calibrate it across the portfolio, and benchmark portco-by-portco — so value-creation theses defend themselves at the next IC.
Three productized SKUs. Each fixed-scope and fixed-fee, each earns the next. Diagnostic gates Implementation. Implementation gates the Operating Partner retainer. No open-ended scopes. No army of juniors. No slides as deliverable.
Operator-led discovery, AI-Readiness Index score and costed ROI roadmap — signed in the room.
We ship the two or three interventions the Diagnostic scoped — live in production, hand-over week and thirty-day warranty included.
Senior operator embedded after Implementation — capacity to compound use cases, functions and measurable lift.
One methodology, two phases, ninety days end-to-end — every engagement. Boring on purpose: no frameworks for the sake of frameworks, no deck as a deliverable. We stay in the room until the work runs without us.
Before we scope, we listen. No generic templates. No precooked answers.
Ruthless focus on two to three interventions with clear expected ROI.
We stay in the room until the work is live in production, not just approved.
Internal capability, not consultant dependence. We design ourselves out.
Every stack choice we make is a decision against criteria you can audit. No vendor allegiances. No “preferred partner” badges. Here are the four criteria we apply on every engagement — so you can pre-qualify us before the call.
Frontier models where reasoning quality earns the unit cost. Open-weight where privacy, EU residency, latency or margin demand it. We benchmark both on your real tasks and commit on cost per useful output. We never lock you into a model family we have economics in.
Most mid-market value still unlocks with copilots — the model sits next to a human who keeps the keyboard. We move to agents only when the workflow is deterministic enough to wrap and the failure mode is recoverable. That order is almost always the right one.
Paris-native by default. For regulated data flows, we run on EU-hosted inference with risk classification and logging designed in from week one — not retrofitted the week before audit. Sovereignty as a posture, not a slide.
We pick tools per job, never per partnership. If we ever take referral economics from a vendor, it is disclosed in the engagement letter — line item, before signature. Buy-then-orchestrate by default; custom only where data, moat or unit economics earn it. Your team owns the code we leave.
Grid Advisory is led by two senior operating partners, backed by a trusted network of fractional experts pulled in for specific engagements. You work with the people you hired — not a rotating cast of associates.
Ten-plus years operating at the intersection of commercial strategy and frontline execution. BCG strategy consultant and active project leader across Europe and Asia — including a year at BCG Digital Ventures building companies from zero to one. Google EMEA product marketing lead for Grow with Google, training fifteen million people and businesses across the region.
Co-founder, CRO and COO of Sprynt, a digital asset payments company (bootstrapped, seven hires, thirty-plus customer agreements). Engagement Manager at BNP Paribas CIB Consulting & Transformation, advising C-suite on growth strategy and operational improvement. Most recently Head of Revenue & AI Operations and Interim VP of Operations at Spendesk, leading twenty-five-plus people across RevOps, AI ops, customer operations and support.
The through-line is the same: take commercial strategy from PowerPoint into production — and stay long enough for it to stick.
Ten years operating at the intersection of strategy and execution. Transformation consultant at PwC Paris, advising CAC 40 groups — including Eutelsat, Sage, Chanel, and LVMH — on large-scale change programs across Europe.
Seven years at Spendesk, a €50M ARR B2B SaaS scale-up serving SMB and mid-market (~300 people across France, the UK, Germany and Spain), including three years on the Executive Committee. Exposure across go-to-market, tech, product and people — supporting the company from 150 to 500 employees through hypergrowth, professionalisation, restructuring, and change management. A 360° view, from the inside, of what it takes to make a scaling organisation actually work.
The through-line is the same: partner with founders and investors to turn strategy into measurable execution — organisational design, performance, operational excellence — and stay long enough for the change to stick.
If one of these is still unclear after reading, it is probably worth a thirty-minute call.
The Diagnostic is fixed-fee, typically €60–120k depending on company complexity. The Implementation that follows is fixed-fee, typically €150–280k per Phase-1 use case shipped to production. The Operating Partner retainer starts at €20k per month for two days per week, six-month minimum. Every engagement is priced to fit the problem — book an intro call and we will give you a straight answer within twenty-four hours.
Start with the Diagnostic if you need a defensible plan before committing budget. Implementation follows the Diagnostic — same team, same playbook, the bets it scoped. Operating Partner is the retainer for compounding once Phase 1 is shipped. We don't sell them out of order.
You do. All code, prompts, playbooks and documentation belong to the client. Anonymised scores feed our cross-portfolio AI-Readiness benchmark — we retain perpetual rights to that aggregated dataset; you retain exclusive rights to anything that identifies your business.
If a recommendation we make to you carries referral economics from the vendor, it appears as a line item in your engagement letter before you sign. You accept those economics with full visibility, or we recommend something else and skip them. We never hide them. We never let them choose the tool.
Paris-native by default, EU-hosted inference where required. We classify every use case against the AI Act before we build — not after audit. No client data ever goes to training. DPAs on request.
For ACPR-supervised, Solvency II, EBA, EIOPA or healthcare-regulated engagements where AI touches scoring, claims, underwriting or patient data — we refer to specialist partners with the right compliance posture and step back. For the rest of your operations, we can still ship. We won't pretend a SaaS playbook applies to a mutuelle's actuarial models.
Embedded. You get one of the two co-founders in your Slack and leadership meetings. No associates, no outsourced juniors — the only scale lever is our fractional expert network, pulled in by name for specific lifts.
A hand-over week. Documented runbooks, trained owners, and a thirty-day warranty where we patch anything that breaks. We explicitly design ourselves out — consultant dependence is a failure mode.
Three things. Price: a BCG or McKinsey kickoff deck costs roughly what our entire Diagnostic costs. Pyramid: no associates — the people in your room have run revenue and AI operations inside a unicorn. Lane: Artefact and Capgemini Invent sell data-science capacity to your CDO; we sell operator judgement to your CFO and Operating Partner. Different buyer, different conversation.
French, English, Dutch (Sébastien) and French, English (Victoria). Delivery is in French or English by client preference; DACH and Iberian engagements run in English unless otherwise agreed.
A thirty-minute intro call. No slides, no pitch. We will tell you honestly whether we are the right fit — and who to call if we are not.