One partner. Fully managed AI.

ARC: AI deployment andoperational partner

We deploy AI into your team's everyday work
and measure exactly what it returns.

Find your stage How ARC works
Sound familiar?

Your team uses AI. Everyone differently.

own promptsown chatsown shortcutsno standardnothing shared

The work got faster. Did your margin?

Saved hours often drift into rework and extra work nobody pays for. Without a baseline, no one can say what changed.

Who decides where AI goes? Who checks it?

If nobody owns it, AI-assisted work can go out unchecked, and the know-how stays with one or two people.

ARC

We take the repetitive work off your hands.

Your seniors get their time back for clients, judgement and new work. We handle the setup, the checks and the fixes.

More work, same team.

Every recurring task mapped, every workflow logged. You see where AI works for you, what it saves and what it costs.

Inside what you already pay for

Two weeks to map. Four to go live. Then we run it.

One partner from start to finish. We find the work, build it, run it and report on it, adding workflows only once the first ones earn their place.

Stage 1 of 4 · Weeks 1-2

Map.

We find where AI fits.

We list your team's recurring tasks and what each costs, then sort them: AI runs it and we check it, AI drafts and your people sign, or it stays human.

You getA baseline, a task map and the two workflows worth building first.
A client services teamExample

AI runs it, we check

AI drafts, your people sign

Stays human

Baseline
Hours and cost per deliverable, measured before anything changes.
Stage 2 of 4 · Weeks 3-6

Build.

We build it in.

Two workflows go live inside your systems, loaded with your templates and past work, with named sign-off gates.

You getTwo tested workflows, ready to run.
Workflow · meeting to proposalExample
Meeting notesTeams / Zoom
Past proposalsSharePoint
Client notesCRM
ARC
Draft in your templateWord / Slides
Named person signs
Stage 3 of 4 · Every week

Run.

We run it. You sign.

Every week we run the work, check each output against its sources and fix what breaks as models change.

The gateNothing reaches a client without your sign-off.
Inside every runlive
Capture from files, meetings and systems
Extract facts, each linked to its source
A second model argues against every claim
Totals reconcile, or it doesn't ship
A named person approves or rejects
Every rejection becomes a new check
Proposal draft · exampleAwaiting sign-off
✓Every figure and citation traced to its source
If rejected, why?Wrong sourceToneMissing scope
Stage 4 of 4 · Monthly

Prove.

We show what it returns.

A monthly AI P&L: senior hours returned at rates you set, plus spend replaced, minus AI costs and our fees. Against your baseline, taken before anything changes.

You getA report you can check line by line.
Monthly AI P&LIllustrative layout
Senior hours returned
Hours redeployed to client work
Cost per deliverable
Rework and reject rate
your baseline
Net returnEvery month
Inside every run

Checked before it leaves.

Every draft is checked against its sources, and a named person signs it.

Research packRetail client · v2
Every figure traced to its sourceApproved · Partner
Proposal draftNew business · v3
Rejection saved as a testRejected · wrong source
Weekly margin packWeek 38
Totals reconcileApproved · Finance lead
Tender answer, Q4Public sector bid
Price left blank for a personAwaiting · Bid manager
Interview synthesis6 interviews
Quotes linked to transcriptsApproved · Engagement lead
Stock and sales pack14 stores
Pack held until it tiesRejected · totals do not tie
Meeting actionsClient call
Owners and dates namedApproved · Account lead
Research

Faster work. Same results?

Across the market, work is getting faster with AI. The return is rarely tracked, and for most it hasn't reached the bottom line.

75%

of UK firms using AI report productivity gains. Yet 77% report no change in revenue.DSIT, 2026

37%

of companies surveyed report any EBIT impact from AI, flat on last year.McKinsey, 2026

18%

of professionals say their organisation tracks the return on its AI tools.Thomson Reuters, 2026

20%

of companies capture 74% of AI's economic gains.PwC, AI Performance Study, 2026

Felt
20% faster
Measured
19% slower

Experienced developers, one controlled study (METR, 2025). How fast AI feels and what it delivers can differ.

For firms rolling out AI

One AI strategy. Every team. Measured.

We track what AI returns, team by team: senior hours back, cost per deliverable, rework, and where the saved time goes. Not just time saved.

Find your stage Three minutes. We'll send you the report.
Why now

What are the firms that gain doing differently?

Most firms now use AI. Those that gain are far more likely to redesign the work, not just the tools.

~75%

of AI high performers redesigned their workflows, against about a quarter of other companies.McKinsey, State of AI, 2026

~25pts

of measurable impact came from a clear strategy and redesigned work, against about 5 from better tools alone.BCG, AI at Work, 2026

54%

of UK SMEs now use AI, up from 35% a year earlier.British Chambers of Commerce, 2026

The rule

We automate the preparation, never the judgement.

Stays humanClient conversations, pricing, hiring and every final call.
Not softwareA partner that runs the work, not a platform to manage.
Not a roadmapNo deck handed over. We stay and run it.
Not surveillanceTeam totals only. Small groups merged so no one is singled out.
Before Map

Where is AI in your team today?
Three minutes to find out.

Who uses it, who checks it, and whether anyone measures it. You get your stage, your three biggest gaps and where we'd start.

What would you
do with more time?

Get in touch →
Pilot90 days
ScopeTwo workflows
Go or no-goAt month three
Who's behind ARC
AshleyCEO
RishavCTO