Don't start with AI tools. Start with business outcomes. We help you prioritize the right use cases, build a practical AI roadmap, and maximize the value of every AI investment.
Free calculator · No email required · Trusted by CIOs and operations leaders across India, UAE, Australia, Canada and the USA
Trusted by Leading Organizations
Mid-market organisations rarely fail at AI because they picked the wrong model. They fail because six teams ran six pilots, nobody owned the order of operations, and the licences renewed regardless.
Seats get added, tools get trialled, the invoice grows every quarter. When a CFO asks which line item produced a measurable result, the room goes quiet. That gap — not the technology — is what stops year two getting funded.
Every department ran its own experiment. Nothing was compared on the same terms, so nobody could say which was worth scaling. The real cost isn't the pilots — it's a year spent proving the same things twice.
Generic AI consulting assumes you're starting from zero, so the plan is stacked with tools to buy and models to build. Meanwhile the capability inside your current Microsoft licensing goes unmapped and unscheduled.
AI sits across IT, operations and the business, which usually means it sits with nobody. Without a named accountable executive and a review cadence, momentum dies quietly somewhere around month four.
Copilot gets deployed to everyone at once with an announcement email and no role-based enablement. Weekly active use settles around a third, and capability nobody uses is indistinguishable from capability you never bought.
Most AI strategy consulting firms are excellent at greenfield thinking. They'll run workshops, map use cases, model ROI and hand you a roadmap of systems you don't own yet. For an enterprise with a data science team, that's the right engagement.
For a 200–2,000 person organisation running on Microsoft, it's the wrong starting point. You already hold most of the capability. What's missing is the order of operations, the ownership model, and a number the CFO will fund.
Four rungs, climbed in order. Skipping one is the single most common reason AI programmes stall — organisations automate before they've adopted, or scale before anyone owns the result.
Before a single use case gets prioritised, we establish the baseline: what's licensed, what it costs, who actually uses it, and where the data lives. Most organisations discover they're further along on capability and further behind on usage than they assumed.
The rung most plans skip. Building more capability on top of low adoption adds cost without adding value. This is role-based enablement and honest measurement — proving whether Copilot is earning its seat cost before anything else gets funded.
With adoption proven, prioritised use cases become Power Automate flows, Copilot Studio agents and Power Apps. Sequence is chosen by effort against impact, not by whoever asked loudest, and every build carries a success metric defined before development starts.
The rung where the engagement stops being a dependency. Ownership model, agent lifecycle, governance controls and a quarterly review cadence, plus a licence true-up so the estate stays aligned to actual value as it grows.
Move the four dials to match your organisation. Nothing is sent anywhere — this runs entirely in your browser, and you'll get a number plus the rung of the Ladder you're most likely standing on.
Assigned seats, whether or not they're being used.
Share of licensed people who open Copilot in a normal week. Mid-market tenants typically land between 30% and 45%.
Your assumption, not ours. We've defaulted to a deliberately conservative 15 minutes — vendor studies often claim double.
Salary plus overheads, divided by working hours. Use your own blended figure.
Your modelled position
A model built from your inputs, not a promise. Licence cost assumed at $30 per seat per month and 230 working days. The strategy sprint replaces every assumption here with a measurement from your own tenant.
A strategy is only as good as its backlog. These are the use cases that come up most often in mid-market discovery workshops — nearly all buildable on licensing you already hold.
Pull line items, totals and PO references from supplier PDFs into Dataverse without manual keying.
AI Builder · Power AutomateAn agent that tracks close tasks, chases owners and surfaces what's blocking sign-off.
Copilot StudioFirst-draft narrative on budget variances, written from your actuals and last period's commentary.
Microsoft 365 CopilotThree-way match between PO, receipt and invoice, with exceptions routed for human review.
Power Automate · DataverseStaff ask what's claimable in plain language and get an answer grounded in your actual policy document.
Copilot Studio · SharePointBoard and management packs assembled from the same sources every month, on schedule, without a person.
Power Automate · Power BILeave, benefits and conduct questions answered from your handbook instead of landing in the HR inbox.
Copilot Studio · SharePointNew starter triggers accounts, equipment, training and manager tasks across every system at once.
Power Automate · Entra IDPanel notes condensed into a structured comparison against the scorecard, ready for the hiring decision.
Microsoft 365 CopilotRequests routed by policy and hierarchy, escalated when they age, logged for audit automatically.
Power AutomateConsistent, on-brand role descriptions generated from your competency framework and previous postings.
Microsoft 365 CopilotFree-text responses grouped into themes with sentiment, instead of a spreadsheet nobody finishes reading.
Power BI · AI BuilderFirst-draft proposals assembled from approved templates, past wins and the specifics of this opportunity.
Microsoft 365 CopilotTeams call becomes a summary, an action list and CRM notes without anyone writing them up afterwards.
Copilot · Power AutomateAnswer bank searched by question, drafted in your voice, with gaps flagged for a subject expert.
Copilot Studio · SharePointWeekly commentary on movement, risk and forecast generated from CRM data instead of assembled by hand.
Power BI · Power AutomatePre-meeting brief on the account pulled from internal history and public sources, delivered before the call.
Copilot StudioRenewal dates surfaced with owner, value and risk, chased automatically ahead of the deadline.
Power Automate · DataverseFrontline staff ask how a process works and get the current procedure, not a five-year-old PDF.
Copilot Studio · SharePointStructured incident write-ups from voice or bullet notes, formatted to your reporting standard.
Microsoft 365 CopilotCertificates, specs and delivery notes read automatically and filed against the right supplier record.
AI Builder · Power AutomateOutgoing shift notes condensed into what the next team actually needs to know, every time.
Copilot · TeamsScheduled checks issued, completed on mobile, escalated when missed, with a full evidence trail.
Power Apps · Power AutomateOperational dashboards refreshed automatically with plain-language commentary on what changed.
Power BIIncoming tickets classified, prioritised and routed to the right queue without a human first pass.
AI Builder · Power AutomateTier-one questions resolved from your own documentation, with unresolved ones handed to a person cleanly.
Copilot StudioRequests routed by role and risk, approved in Teams, provisioned automatically and logged for audit.
Power Automate · Entra IDRelease and change notes drafted from tickets and commits, in the format your CAB expects.
Microsoft 365 CopilotHardware, licence and directory records compared across systems with discrepancies surfaced weekly.
Power Automate · DataverseDormant seats flagged monthly so the estate stays right-sized instead of drifting between renewals.
Power BI · GraphKey terms, dates and liabilities pulled from executed contracts into a searchable register.
AI Builder · DataverseStandard agreements checked against your playbook, with deviations flagged for a lawyer's attention.
Microsoft 365 CopilotRedlines between versions explained in plain language, not just tracked as character changes.
Microsoft 365 CopilotDocuments classified and retention labels applied automatically, so disposal actually happens on schedule.
Microsoft PurviewPapers gathered from owners, formatted consistently and compiled to deadline without chasing emails.
Power Automate · SharePointMeeting minutes and decisions drafted from the recording, structured to your governance template.
Microsoft 365 CopilotThe stack your strategy is built on — and mostly already licensed
Six capabilities that take you from scattered pilots to a sequenced, costed, owned AI roadmap. Open any one to see what's inside it.
Fixed scope, fixed fee, fixed end date — and roughly six hours of your team's time in total. We do the analysis between the workshops, not in them.
Read-only tenant review plus a spend and usage pull. We arrive at the first workshop already knowing what you own and how much of it is active.
~30 min of IT timeTwo structured sessions with department leads. Process pain points, existing workarounds, and the tasks people would hand over tomorrow if they could.
2 × 90 minUse cases scored on effort and impact. Business case built on your actual spend baseline, with a payback period rather than a vendor benchmark.
No time from youAn executive session: the sequence, the owners, the costs, the metrics — and an explicit list of what we recommend you don't do this year.
1 × 60 minFixed fees and defined scope. Most organisations start with the strategy sprint because it produces a decision rather than a dependency — and the licence findings usually cover a meaningful part of the fee.
A self-serve read on your spend, your usage and your likely rung.
Three weeks, fixed fee, ending in a sequenced and costed twelve-month roadmap.
Ongoing strategic capacity for organisations not ready to hire a full-time AI lead.
AI strategy consulting answers four questions before anyone writes code: what should we apply AI to, in what order, what will it cost and return, and who owns it. The output is a sequenced roadmap with a business case attached. Our version is Microsoft-specific — we start from the Copilot and Power Platform capability already in your licensing rather than designing a greenfield AI stack.
The large firms are built for enterprise-scale transformation and are genuinely good at it. Their engagements typically run eight to sixteen weeks of discovery before a recommendation, and assume you'll build most systems from scratch. Ours runs three weeks, starts from what your licences already include, and is delivered by the same team that would build it. If you need a global AI operating model across dozens of business units, use a large firm. If you run on Microsoft and need a funded plan this quarter, that's us.
That's the most common situation we're called into. Stalled AI programmes usually fail for three reasons: the use case was chosen by enthusiasm rather than impact, nobody owned the outcome after the pilot, or the data wasn't ready and that only surfaced late. The sprint deliberately front-loads all three. We start by understanding what didn't work, because the failed pilot is usually the most useful data in the room.
Roughly six hours in total across three weeks — two workshops of about ninety minutes with department leads, a short session with IT, and the final executive readout. We do the analysis between sessions rather than in them, which is why the sprint is short. Read-only tenant access covers most of what we'd otherwise have to ask you for.
The strategy sprint is a fixed fee scoped to headcount and site count, agreed before we start. No hourly billing and no open-ended discovery phase. If scope genuinely changes we discuss it before anything moves. Where the sprint identifies recoverable licence spend, we report that figure explicitly so you can weigh it against the fee rather than take it on faith.
No. Assessing your data landscape is part of the work, not a prerequisite for it. What we do need is access to see it. If data readiness turns out to be the blocker for your top use cases, that becomes an explicit early item on the roadmap rather than a surprise six months in.
Four things: an AI readiness assessment scored against the Ladder, a ranked use case backlog with effort and impact scoring, a business case with a spend baseline and payback period, and a twelve-month roadmap with named owners and success metrics. Plus an explicit list of what we recommend you don't pursue this year, which clients often say is the most useful page.
Yes, and you're under no obligation to use us for it. Empathy Technologies has 31 Microsoft specialists who deliver Copilot rollouts, Power Automate flows, Copilot Studio agents and Power Apps. The advantage of the same team planning and building is that the roadmap is costed against real delivery estimates rather than assumptions. Some clients take the roadmap and execute internally, which is a perfectly good outcome.
It's designed to. Your team knows your systems and politics better than any outside firm will. We bring the AI sequencing model, the Microsoft depth and the pattern recognition from other tenants, then hand over documented decisions your team owns. Rung 04 of the Ladder is explicitly about the point where you no longer need us.
India, UAE, Australia, Canada and the USA. Delivery is remote by default with workshop hours set to your timezone, and we operate as a Microsoft Partner through Empathy Technologies with a 31-person delivery team.
Thirty minutes with a Microsoft strategy consultant. We'll walk through your current AI position, name the rung we'd start on, and tell you honestly whether a strategy sprint is what you need — or whether you should just go and build something.
No obligation · Direct with Garry and the delivery team · India · UAE · Australia · Canada · USA
