AI workflow audit

Find the workflows worth giving to an agent.

A structured audit that maps how work really moves through your team and systems, scores each workflow for value and feasibility, and hands you a ranked plan.

See how workflows are scored
1

Discover

We
Agree goals, teams and systems in scope
You
Join a kickoff call and share your biggest pain points
You get
A shared scope and success measures
2

Map

We
Walk through each workflow with the people who run it
You
Give process owners' time and a few example cases
You get
A map of handoffs, delays and rework
3

Measure

We
Size volume, time per item, error rates and system access
You
Share reports or samples from your systems
You get
Baseline numbers for every workflow
4

Score

We
Rate each workflow on value, feasibility, data readiness and risk
You
Review the scores and challenge our assumptions
You get
A ranked opportunity scorecard
5

Roadmap

We
Plan the first pilot, with the limits and approvals it needs
You
Decide priorities and the order of work
You get
A pilot plan and a sequenced roadmap

Ready to start

Bring a short list. We'll help you find the right first workflow.

You do not need a finished brief. Tick what you already have for the first call.

Nothing here is required. We can help with any of it.

Questions

Answers before you ask.

What is an AI workflow audit?

An AI workflow audit is a structured review of how work moves through your team and systems. We map the workflows, measure volume and effort, score each one for value, feasibility and risk, and give you a ranked plan that shows which workflows to hand to an AI agent first and which to leave with people.

Who should do an AI workflow audit, and when?

It suits teams that know their work is slow or repetitive but are unsure where an AI agent would help most, or that have a long list of ideas and need to choose one. It is best done before building anything, because it stops you automating the wrong workflow first.

What do you need from our team?

We need time with the people who run each workflow, a few example cases or documents, and a view of the systems involved, such as your CRM, ERP and helpdesk. Sample documents can be anonymised where needed. One person who can make decisions on priorities helps keep the audit moving.

How do you score and rank workflows?

Each workflow is rated on value, feasibility, data readiness and risk. Value reflects volume, time spent and cost of delay. Feasibility reflects how clear the rules are and whether your systems can be reached. The scores place each workflow on a map, so the best starting points are easy to see.

What do we receive at the end of the audit?

You receive a workflow map showing handoffs and delays, an opportunity scorecard, a readiness check on your data and systems, notes on risks and the approvals each workflow needs, and a pilot plan with a sequenced roadmap.

How long does an AI workflow audit take, and what does it cost?

Timing and cost depend on how many workflows and teams are in scope and how many systems are involved. A focused audit of a few workflows is quicker than one that spans several departments. After a short call we give you a scoped proposal with a realistic range.

Do we have to build agents with RethinkingWeb after the audit?

No. The roadmap is written so that your own team or another partner could act on it. If you want us to build the first agent, we can scope it directly from the audit findings.

What if no workflow is a good fit for an AI agent?

We will tell you. The audit may find that data, process or system issues should be fixed first, or that a simpler automation does the job. A clear answer of not yet is still a useful result, because it saves you from building something that would not work.