AI MRI for operators under pressure to make AI real

See how work actually happens inside your company.

We turn Slack, email, calendar, call transcripts, SOPs, CRM, and workflow exhaust into an AI MRI: a clear picture of where work gets stuck, where knowledge is trapped, and what to automate next.

Book AI MRI intro See AI MRIHow we work →

Operational signals we analyze

Slack

Calendar

Call transcripts

SOPs

CRM

Ticketing

Project docs

Why teams start here

Everyone knows AI matters. Almost nobody knows where to start.

The AI MRI is the wedge. It gives operators a clear picture of how work actually happens before they buy another tool, fund another experiment, or ask engineering to guess.

Too many AI ideas, no operating truth

Every team is asking for something different, but no one has a reliable picture of where the value actually is.

Knowledge is trapped in people and messages

Your best operators know how to handle edge cases, but that judgment is scattered across chat, calls, and inboxes.

Vendors keep selling you demos

You do not need another generic AI strategy deck. You need to know what to fix manually, automate next, and leave alone.

What AI MRI finds

Prescriptions, not platitudes

Output

Bottlenecks and decision latency

Output

Low-value coordination thrash

Output

Hidden experts and reusable skills

Output

Single points of failure

Output

Role ambiguity and handoff gaps

Output

Ranked automation backlog

Start with the company x-ray. Then decide which workflow actually deserves a build.

See AI MRI →

How we engage

Start with the MRI. Expand only when the roadmap earns it.

The site still supports a broader workflow library and industry footprint, but the engagement model is now explicit: diagnose first, implement one workflow second, formalize the operating model when demand is real.

Compare all services →

2–4 weeks

AI MRI

Before you buy more AI, get an x-ray of how your business actually runs.

Executive summary for leadershipOperational heatmap of bottlenecks, handoffs, and decision latencyWorkflow-by-workflow findings with hidden experts and single points of failure

6–12 weeks

AI Implementation Sprint

Turn one high-value workflow into a measured AI win.

Workflow scope lock with measurable success criteriaGuardrails, policies, evaluator checks, and fallback pathsWorking automation or agent deployment for one target workflow

Quarterly cadence

AI Operating Model

Give leadership a repeatable way to prioritize, govern, and scale AI.

AI ownership model and decision cadenceWorkflow prioritization framework and intake processGovernance rules for data access, quality, approvals, and exceptions

How it works

A company mirror, then a practical roadmap.

The mechanism is simple: use the operational signal your company already produces, turn it into a ranked point of view, then build only where the evidence is strong enough.

Ingest operational signal

Slack, email, calendar, call transcripts, SOPs, CRM, and workflow artifacts show how work actually moves.

Map how work happens

We trace requests, approvals, repeated questions, bottlenecks, and where judgment lives inside the business.

Deliver prescriptions

You get a ranked backlog: what to standardize manually, what to automate next, and what should stay human for now.

Pilot one workflow

If a workflow deserves a build, we move into a measured implementation sprint with guardrails, observability, and handoff.

Start fast

2–4 weeks

Most teams can complete the AI MRI without a heavy lift.

Access model

Read-only first

Exports and interviews before deeper system changes.

Useful anyway

Standalone value

The roadmap is actionable even if you never hire us to build.

Next step

Book an AI MRI intro.

We'll talk through the operational signal you have, where the pressure is coming from, and whether an AI MRI or implementation sprint is the right starting point.

Book AI MRI intro