AI amplifies the organisation you already have. We change what gets amplified.
Coherence OS reads the signals your business already produces — email, chat, meetings, work systems and sales data — finds where work keeps breaking, and stages the fix inside the tools people already use.
Live in 14 daysNo new dashboard to adoptHuman approves every action
LIVE OPERATING PICTUREEnterprise config · illustrative
Emailrequests & commitments
Slack / Teamssignals & handoffs
Meetingsdecisions & context
Work systemstickets, CRM, outputs
Coherence OS
Staged for approval
Restore Product to the decision path
A feature reached Engineering without Product review — the third time this month.
ApproveEdit
⇢ Delivered in Slack · #product-eng
Push, not pull.The next move arrives where the work already happens.
It reads what your business already produces✉️ Email💬 Slack / Teams🎙 Meeting transcripts📋 Jira · CRM · docs📈 Sales & business data→One continuous operating loop
The pattern, not the anecdote
Your organisation is already showing you what's broken.
The same three breakdowns show up again and again in enterprises adopting AI. They're not people problems — they're operating-model conditions. And they're measurable.
PATTERN 01
The bypass
Work routes around the role that should own it. Shortcuts become rework, conflict and drag — invisible until it's expensive.
Of AI's value potential sits in core business workflows — where decisions, costs and outcomes intersect~70%
BCG · 2026
PATTERN 02
The reopened decision
A consequential decision gets made, unmade and remade. No closure condition, no owner, no memory of why.
Of executives say most of their decision-making time is used ineffectively61%
McKinsey Global Survey
PATTERN 03
The unowned outcome
Everyone touched it, nobody owns it. AI agents accelerate the work — and the ambiguity compounds faster.
Of anticipated value erodes before reaching the P&L where no owner and no value logic is defined10–20%
BCG · 2026
5%of companies are generating sustained P&L impact from AI
~60%have seen little or no material benefit
BCG reached that split in 2026. MIT's Project NANDA arrived at the same place from the other end in 2025: 95% of GenAI pilots delivered no measurable P&L impact. Both point past the technology. BCG's own reading is that AI initiatives fail because the deeper work — rewiring decision rights, reshaping how expertise is applied, realigning incentives — is obscure, harder, and usually skipped. That work is what Coherence OS operates.
Pick a scenario. Coherence OS traces what actually happened, names the structural condition, and stages a bounded intervention — in the channel where the work already lives.
What the system sawApproved sources · roles, not individuals
What it stagedNothing sends without approval
Analyse the work, not the worker. Names can be removed — reasoning stays on roles, decision paths and operating conditions. Scenarios shown are illustrative.
Benchmark. Intervene. Re-measure.
Know what's working. Prove the ROI of fixing it.
Every domain gets a baseline the day we switch on. Every intervention is recorded against it. You see conditions improve — or you stop.
A baseline, not a vibeDecision latency, rework rate, closure rate, handoff quality — measured before anything changes.
Every action is evidenceEach approved intervention is logged with its outcome. Did the condition return? The system reads again and tells you.
AI ROI you can defendConnect operating conditions to business outputs — cycle time, conversion, delivery — and show what the fix was worth.
Domain benchmark — Commercial operationsReading live
0↑ 18 ptsCoherence score · vs Day-1 baseline
Decision latency
−41%
Rework rate
−36%
Decision closure rate
+57%
Handoff completeness
+48%
214 signals read this week31 interventions staged29 approved by humansIllustrative
How it works
Read. Redesign. Run. Repeat.
Not another assessment. A continuous operating loop that makes your operating model visible, correctable and self-improving — while people and AI work inside it.
01
Read
Connect approved sources and see how signals, decisions and work actually move — not how the org chart says they should.
02
Redesign
Set decision rights, handoffs and closure conditions with the people who own them. Bounded, not boiled-ocean.
03
Run
The system watches for recurring friction and stages bounded interventions in email, chat, calendar and work tools.
04
Repeat
Outcomes are recorded, the environment is read again, and the operating model improves on evidence — quarter after quarter.
Start in one bounded domain
The 90-Day Launch.
One sponsor. Three recurring friction patterns. Approved live evidence. One managed deployment that proves value against a baseline — and ends in a dated rollout decision.
Days 1–15
Commission
Read the domain. Set the baseline, evidence boundaries and decision architecture.
Days 16–30
Configure
Sources, authority, intervention options, approvals and outcome criteria — set with you.
Days 31–75
Operate
Detect, stage, approve, route and record three bounded use cases in live channels.
Days 76–90
Remeasure
Compare conditions against the Day-1 baseline. Decide whether rollout is justified.
Coherence without surveillanceApproved sources onlyNo individual scoring — work, not workersHumans keep authorityEverything traceable
Two ways in
Deploy it inside your organisation. Or bring it to your clients.
Enterprise teams
Give your AI transformation an operating system that stays on.
You're accountable for making AI land — and for proving it. Coherence OS turns one-off transformation into a measured, continuously improving capability.
Baseline your operating conditions in 14 days
Interventions staged in the tools teams already use
Turn operating-model advice into a live capability.
Your redesign work shouldn't evaporate after the deck. Install Coherence OS with clients and your recommendations keep running — and keep measuring — after you leave the room.
A productised delivery model for your practice
Client benchmarks that make your impact visible
Recurring licence economics, not one-off engagements