Three questions · honest answer · concrete next step
Are we the right partner for your AI problem?
Most consulting websites make you book a call to find out if there’s any fit at all. This page does the work first. Three small questions — industry, shape, size — and you’ll know whether to book, lurk, or look elsewhere.
Question 1
What industry are you in?
Each industry has its own AI value pattern — what we ship for a 60-attorney law firm looks nothing like what we ship for a 90-bed clinic. Pick yours for a vertical-specific landing.
Financial Services
AI consulting for financial services
We help small and mid-sized financial-services firms (30–300 staff) deploy Microsoft AI inside the controls your regulators already expect. No shadow IT, no model risk surprises, no rogue prompts.
Open landingProfessional Services
AI consulting for professional services
For consultancies, agencies and engineering practices (30–300 people): the workflows that drag down realisation — proposals, status reports, knowledge search, time-entry narratives — are exactly where Microsoft AI lands hardest in the first 90 days.
Open landingHealthcare
AI consulting for healthcare
For clinics, specialty practices and allied-health groups (30–300 staff): the AI value lands in administrative burden — prior auth, intake, coding queries, after-visit summaries — not in clinical decision-making. We deploy Microsoft AI in a HIPAA-aligned posture with a Business Associate Agreement in place.
Open landingLegal
AI consulting for law firms
For 30–300 attorney firms: the AI value is in document review, knowledge management and matter intake — and the bar associations now expect partners to understand the technology. We deploy Microsoft AI inside a posture you can defend to your malpractice carrier and your ethics committee.
Open landingConstruction
AI consulting for construction
For general contractors, specialty trades and design-build firms (30–300 staff): the wins are in RFI / submittal turnaround, bid preparation, daily-report drafting and safety-document workflows. Microsoft AI deployed in a way that survives spotty job-site connectivity and a workforce that lives on phones.
Open landingManufacturing
AI consulting for manufacturing
For contract manufacturers, precision machine shops, fabricators and assemblers (30–300 staff): the wins are in quote-to-order turnaround, supplier-document intake, shop-floor work-instruction lookup and quality / non-conformance reporting. Microsoft AI deployed in a posture that survives a workforce that lives between SolidWorks, ERP and an iPad on the line.
Open landingRetail & E-commerce
AI consulting for retail & e-commerce
For multi-store retailers, omnichannel operators and DTC brands (30–300 staff): the AI wins are concrete — product content production, customer-service triage, supplier onboarding, demand-sensing for the buying team. Microsoft AI deployed inside the tenant that already holds your customer and supplier data.
Open landingEducation
AI consulting for education
For independent schools, multi-academy trusts, FE colleges and private training providers (30–300 staff): the AI value lands in administrative burden — parent communications, report writing, policy lookups, lesson-prep support — not in replacing teachers. Microsoft AI deployed with the safeguarding posture parents, governors and regulators (Ofsted, DfE, accreditation bodies) actually expect.
Open landingNot on this list?
The five above are where we’ve repeated the pattern enough to commit. For other verticals — manufacturing, education, non-profit, public sector — talk to us; we’ll tell you whether we’ve shipped something analogous.
Question 2
What does the next 90 days need to look like?
Four engagement shapes. Pick the one that matches the conversation you’re currently having with your CEO, board or partners.
4 weeks · fixed scope
A working Copilot pilot, live in production
You have a tool licence and an executive who wants to see traction this quarter. We pick one workflow, ship it end-to-end with adoption support, and prove the pattern.
Best if: you have Microsoft 365 already, an executive sponsor, and need a defensible pilot result inside one quarter.
See the 4-week activation playbook4–6 weeks · advisory
A roadmap your board will fund
You need a sequenced, costed, governance-grounded plan — not another deck. We assess your stack, score 20-30 candidate use cases, and deliver a 12-month roadmap with measurable milestones.
Best if: you’re between $20M-$200M revenue and your CEO has been asked, “what’s our AI plan?” more than twice.
AI strategy & roadmapOngoing · 8–12 hrs/mo
A standing AI leader without the $300K hire
You need someone who owns the AI agenda — strategy, vendor selection, governance, ROI defensibility — but you don’t need 40 hours a week of it. Fractional AI leadership fills that seat.
Best if: you have 50-300 people, are buying multiple AI tools, and nobody currently owns the cross-cutting answer.
Fractional AI leadership6–16 weeks · build
A specific Microsoft AI deployment, shipped
You know what you want — a Copilot Studio agent, a Power Automate flow with AI Builder, an Azure OpenAI integration. We scope, build, deploy and hand it off with documentation your IT team can maintain.
Best if: you’ve already chosen the stack and need senior delivery rather than another opinion.
Microsoft Copilot consultingQuestion 3
How many people work in your business?
Size is the dominant predictor of fit. Here’s an honest break-down of where our engagement economics line up and where they don’t.
<30 people
Owner-operated SMB
Limited fitYou’ll get more from self-serve: turn on Copilot, work through the ROI calculator, follow the activation playbook. Engagement economics rarely make sense below 30 staff.
Try the AI ROI calculator30–100 people
Growth-stage SMB
Good fitThe sweet spot for a fixed-scope 4-week pilot. One workflow, one executive sponsor, one measurable outcome. Most of our case studies started here.
Run the AI readiness assessment100–300 people
Mid-market
Strong fitYou have enough scale that fractional leadership pays back inside two quarters, enough complexity that the roadmap matters, and enough budget that the pilot can scale.
See pricing & engagement shapes300+ people
Lower-end enterprise
Good fitWe’ll help on a specific engagement (governance pack, fractional CAIO for a quarter, Copilot Studio build) but we’re honest that the Big-4 consultancies are built for company-wide rollouts at this scale.
AI strategy & roadmapWho we don’t help
Five things we’ll politely refer you elsewhere on.
We’ve repeated each of these enough times to know it’s not where we add the most value. Naming them up front saves both of us a discovery call.
- 01
You want a chatbot on your marketing website. We do internal-workflow AI, not consumer-facing conversational UX.
- 02
You’re building a frontier model or a generative-AI product. We deploy Microsoft AI for operations; we’re not an ML research firm.
- 03
You need data-engineering or data-warehouse work as the bulk of the engagement. Bring a partner for that; we’ll layer AI on top.
- 04
You want us to replace headcount you haven’t communicated about yet. AI works in firms that lead with capacity, not layoffs.
- 05
You want a fixed-price guarantee of a specific ROI number before any discovery. We’ll guarantee a measurement plan, not a number.
For the researcher
Four pieces of writing that show how we think.
Microsoft Copilot
Microsoft 365 Copilot pricing in 2026: the real TCO for a 100-person firm
The $30 sticker is half the year-one spend. A line-by-line TCO walkthrough for a 100-seat SMB — licence, base uplift, rollout services, adoption ownership, governance, prompt curation — with the cost traps nobody quotes you for.
AI activation
The 4-week AI activation playbook for a 100-person firm
Week-by-week schedule, exit criteria, deliverables, and the three checkpoints that decide whether you scale a pilot or kill it. The honest version, not the marketing one.
AI Strategy
The 5 questions that disqualify an AI use case in 10 minutes
The most expensive AI projects aren’t the ones that fail — they’re the ones that should never have started. Five questions we ask before any engagement crosses from exploration to build. If a use case can’t clear all five, we don’t build it.
AI governance
AI governance for SMBs: the 9-document pack to write before your first Copilot rollout
Nine one-page documents, two weeks, one named owner. The minimum viable AI governance posture that answers 80% of any enterprise vendor-risk questionnaire — and the Microsoft tiles that actually carry the load.
If the three questions said yes — let’s talk.
We’ll spend 30 minutes on your specific situation. You’ll leave with a recommended next step whether you hire us or not. That’s the whole pitch.