Prioritise and validate the right AI opportunities before you commit budget or hire a partner.
ScopeRight is an independent AI scoping and validation partner for leadership teams deciding which AI opportunities to pursue and how to deliver them. We help you turn AI ambition into a decision-ready scope, prove the strongest use cases through Minimal Viable Agents, and choose the right build, buy or partner path.
Independent advice before partner selection. Organisations rarely lack AI ideas or AI vendors — they lack a reliable decision system for turning AI ambition into prioritised, validated and executable investment decisions.
1
Prioritise
Structure opportunities and connect them to business priorities
Evaluate value, feasibility, data, risk and adoption on one scale
Define owners and kill criteria before anything launches
2
Validate
Select the assumption that matters most
Build the smallest useful end-to-end workflow — a Minimal Viable Agent
Test technical feasibility, business value and user adoption for real
3
Decide
Continue, redesign or stop — against the kill criteria you set upfront
Determine build, buy or partner with evidence in hand
Translate what you learned into an executable roadmap
Why independence matters
ScopeRight is not economically incentivised to recommend a specific software product, platform or large implementation programme. That is not a moral claim — it is a structural advantage: when your advisor earns nothing from the build, the scope stays shaped by your business case rather than by implementation economics, internal politics or technology enthusiasm.
What is a Minimal Viable Agent?
A Minimal Viable Agent is the smallest working AI-enabled workflow that can prove technical feasibility, user adoption and business value before a larger implementation.
One decision journey — from too many AI ideas to a defensible implementation choice.
Six standardised services, organised as stages in a decision journey: discover and prioritise, validate, then decide and mobilise. Pick the stage you are at, or run them in sequence.
AI Scoping Workshop
From a fragmented list of ideas to a prioritised portfolio.
A structured workshop that turns broad AI ambition into comparable business cases, a prioritised scope with owners and kill criteria, and a validation plan your leadership team can actually fund.
Strategic intake & business objective mapping
Use-case prioritisation on value, feasibility, data and adoption
A targeted external benchmark for one business domain: what peers, adjacent industries and AI-native organisations are doing with AI — so you spot blind spots, challenge assumptions, and decide what to explore, accelerate, reconsider or stop.
Structured intake with your domain experts
Benchmark across peers, adjacent industries and AI-native players
Blind-spot and opportunity report with visual mapping
Prioritised shortlist: explore, accelerate, reconsider or stop
Evidence before scale: validate one use case end to end.
ValidateTimeline: 1–2 weeksFrom €12,500
We build or coordinate the smallest useful AI-enabled workflow to test the assumption that matters most — with success metrics and kill criteria agreed before it starts.
Validate technical feasibility quickly
Validate business value and user adoption on real workflows
The right partner type for the scope you actually have.
Decide & mobiliseTimeline: 1–2 weeksFrom €7,500
Partner selection comes after the scope is clear. FDE boutiques, AI agencies, product studios, automation specialists, systems integrators, vendors, internal build teams — different scopes need different delivery models, and we help you choose on evidence.
Match by business outcome, technical fit, and budget logic
Filter for speed, seniority, and integration capability
Reduce vendor lock-in and long-term maintenance risk
An independent decision checkpoint before you commit.
Decide & mobiliseTimeline: 1 weekFrom €2,500
Already have proposals on the table? We review scope, architecture, assumptions, pricing, lock-in and value logic so you can compare like for like — and walk into the negotiation with clarity.
Spot overengineering and under-scoping
Compare vendor assumptions side by side
Flag hidden integration, data, and maintenance risks
Protect the validated scope during early delivery.
Decide & mobiliseTimeline: 3 monthsFrom €2,500/mo
Light-touch oversight that keeps the scope you validated intact through the first critical months of implementation — with a decision cadence, value tracking, and redesign-or-kill calls when the evidence demands them.
Scope integrity and drift monitoring
Evidence and value tracking against the business case
Risk, blocker and escalation review
Continue, redesign or kill decisions with a senior sounding board
A multi-disciplinary team that looks at your AI end-to-end.
ScopeRight brings together experts across business, product, and engineering — so we can look at your processes holistically and end-to-end, not through a single vendor's lens.
Frideric Pétré
Partner
Experienced AI-first SaaS founder and former consultant, bridging boardroom strategy, product thinking and partner-led execution.
Ivan Suarez
Partner
Technology leader with international CTO experience, helping companies separate feasible AI opportunities from costly technical noise.
Pieter-Jan “PJ” Vrancken
Engagement Partner
Enterprise sales leader and entrepreneur with a strong IT background and experience navigating complex service organisations across Europe and the US. PJ leads client conversations, uncovers the business and technical context, and connects each engagement with the right expertise and delivery partners.
Theo Slaats
Associate Partner
Seasoned digital transformation leader and former consulting partner, CIO and CTO. Theo led large-scale CRM and digital programs and, across multiple technology disruption cycles, helped leadership teams turn AI ambition into focused, scalable execution. He spent over a decade in CIO and CTO roles at Deloitte.
Laurent Vanduynhoven
Associate Partner
Strategy and execution leader with enterprise product experience, helping organizations translate AI opportunities into focused scopes, practical adoption paths and business value.
Understand goals, constraints, urgency, internal capabilities, and the real business context behind the AI ambition.
2
Opportunity structuring
Bring every idea to the same level of detail — workflow, owner, value hypothesis — so opportunities become genuinely comparable.
3
Prioritisation
Score each use case on strategic relevance, business value, technical feasibility, data readiness, process impact, user adoption, risk, speed to evidence and scalability.
4
Kill criteria & validation plan
Define upfront what evidence each initiative must produce, when it would be stopped, and what the smallest useful validation looks like — often a Minimal Viable Agent brief.
5
Build, buy or partner path
Determine the delivery approach the scope actually needs — internal build, configurable platform, or a specific partner type — before anyone talks to vendors.
6
Decision-ready roadmap
Walk away with a prioritised portfolio and an executable roadmap you can defend to your board — and hand directly to selected partners.
What you get
Decision-ready output, not slideware.
You leave with a prioritised, decision-ready AI roadmap supported by evidence — not a workshop report.
Structured opportunity portfolio
Prioritised use cases with clear owners
Business-value hypothesis and KPI per use case
Feasibility and data-readiness assessment
Dependencies and adoption implications
Kill criteria per initiative
Recommended validation approach
MVA brief where appropriate
Build, buy or partner decision path
Partner-fit criteria
Executable roadmap
Process
A modular process. Pick one step, or run them all.
Five standalone services, from first contact to a signed proposal. Each step is a complete engagement that delivers on its own — start wherever you are, and combine them into one clear path when it helps.
01
Free intake
Free · 30 minutes
A short call to understand the context, the urgency, and whether ScopeRight is the right fit. No commitment, no sales script.
The full scoping workshop, delivered end to end. You leave with a structured opportunity portfolio, prioritised use cases with owners and kill criteria, a recommended validation approach, a build, buy or partner decision path, and a roadmap your board can defend.
Build or coordinate a focused prototype to validate the assumption that matters most. You get proven technical feasibility, a business-value test on real workflows, a vendor-neutral go/no-go, and a prototype to build on — not an over-built v1. A Minimal Viable Agent is the smallest useful AI agent that proves the workflow, data needs, human review points, and business value before you scale.
Find the partner type your scope actually needs. You get matches by business outcome, technical fit, and budget logic, a transparent shortlist, warm introductions, and reduced lock-in and maintenance risk.
An independent second opinion before you sign. You get a side-by-side comparison of vendor assumptions, flags on over- and under-scoping, hidden integration, data, and maintenance risks surfaced, and a check against your business goal.
If a question isn't here, ask us during the free intake. We'd rather be honest than vague.
What is a Minimal Viable Agent (MVA)?
A Minimal Viable Agent is the smallest useful AI agent that proves one workflow end to end — the data it needs, the human review points, and the business value — before you scale. One job, done well enough to make a build/buy/partner decision with evidence instead of opinion.
What's the difference between an AI pilot and a Minimal Viable Agent?
A pilot usually tests whether the technology works. An MVA tests whether a scoped workflow creates real business value and can be operated by real people. Many pilots impress in a demo and never scale, because they were never scoped against an owner, a metric, or a production workflow.
What is Outside-in Benchmarking?
A focused external benchmark for one business domain. Internal teams naturally start from the processes and technologies they already know — which creates blind spots. We run a structured intake with your domain experts, benchmark relevant AI developments outside your field of view (peers, adjacent industries, AI-native organisations), and deliver a blind-spot and opportunity report with a prioritised shortlist: what to explore, accelerate, reconsider or stop.
What does ScopeRight actually do?
ScopeRight is an independent AI scoping and validation partner. We help leadership teams prioritise which AI opportunities to pursue, validate the strongest ones through Minimal Viable Agents, and make the build, buy or partner decision — before significant budget is committed.
Do you work with private-equity firms and portfolio companies?
Yes. Operating partners and value-creation teams use ScopeRight to create a common AI decision system across portfolio companies: one prioritisation methodology, comparable business cases, kill criteria, and validated use cases — while implementation stays company-specific. See our dedicated page on AI value creation for private equity.
No. We are independent scoping and partner-selection specialists. We can support prototypes and coordinate delivery, but our first responsibility is helping you avoid the wrong scope and the wrong partner.
Do you build the solution yourselves?
Sometimes, for focused prototypes. For larger builds we match you with the right partner type — FDE boutique, AI agency, product studio, automation specialist, freelancer, vendor, or large consulting partner.
How independent are your partner recommendations?
Recommendations start from your business objective, not from a preferred vendor. In some engagements we may receive a referral or success fee from partners, but the shortlist is always fit-based and transparent.
What kind of companies do you work with?
Mid-market and larger companies — leadership, GTM, product, and innovation teams that have budget and ambition but need clarity before they commit.
What is FDE?
Forward Deployed Engineering: senior engineers embedded with your team to ship production AI. Faster than traditional consulting, more accountable than freelance work. Best when scope is clear and stakes are high.
What happens after the workshop?
You walk away with a scope brief your leadership team understands and your future partner can build from — plus a partner shortlist or a recommended prototype direction. We can stay close for follow-up or step out entirely.
Can you review proposals we already received?
Yes. We compare scope, budget logic, and assumptions side by side and flag overengineering, under-scoping, and hidden risks — so you can walk into the negotiation with clarity.
How much does it cost?
Free intake at €0. Scope Workshop from €5,000. Prototype and partner-match engagements are scoped individually and can be fixed-fee, success-based, or partner-supported.
Do you work with internal teams?
Yes. We are designed to make your internal team's next decision easier — not to replace them. Many engagements start because internal teams want a sharper scope before they go to procurement.
What if we do not know our use case yet?
That is the most common starting point. The workshop is built for exactly this: translating broad AI ambition into a concrete, prioritised, validated use case.
Do we need clean data before starting?
No. Part of the scoping work is assessing what data and integrations are realistic for v1. We help you decide what is good enough to start and what can wait.
Can you help with GTM, sales, marketing, and product use cases?
Yes. These are the most common starting points: lead qualification, proposal generation, CRM enrichment, marketing workflow automation, internal knowledge assistants, and product-led AI features.
Can you introduce implementation partners?
Yes. We maintain a vetted and growing network of FDE boutiques, AI agencies, product studios, automation specialists, freelancers, and vendors — and only recommend when there is a strong fit.
What do we get after the free intake?
A clear, honest read on whether your scope is workshop-ready, prototype-ready, or partner-ready — and what we recommend as the next concrete step.
Insights
What's happening in AI, FDE, and partner selection.
Practical notes on scoping, partner selection, and the most expensive mistakes we see companies make with AI.
Get practical notes on AI scoping, FDE, and partner selection.
One email when we publish something worth your time. No filler, no hype.
Define the right scope. Find the right partner. Avoid expensive mistakes.
Before you launch another pilot or select an implementation partner, let us determine what is actually worth validating. A free 30-minute intake, an honest read, a clear next step.
Not sure which service fits? Start with a free intake. We'll tell you whether you need a scoping workshop, an outside-in benchmark, an MVA sprint, a proposal review, a partner shortlist — or nothing yet.
