Assessment
AI workflow fit assessment.
Use one painful workflow to decide whether automation is worth pursuing, what should stay human-reviewed, and what a first pilot would need to prove.
Start with the workflow, not the tool.
The assessment looks at the source material, manual review path, security boundary, and output format before recommending a build.
Source Material
Which files, data rooms, evidence sets, exports, policies, contracts, or ERP tables does the workflow depend on?
Manual Review Path
Who prepares the first pass, who checks it, what errors matter, and where do senior reviewers lose time?
Security Governance
What data sensitivity, access rules, deployment boundaries, retention requirements, and audit expectations apply?
Output Fit
What should the system produce: issue list, workpaper draft, evidence queue, SQL-backed answer, memo, or dashboard?
What comes next
A practical recommendation before you spend on a pilot.
We map the source boundary, reviewer path, success criteria, and implementation risk, then recommend whether to proceed with workflow mapping, a paid pilot, or no build.
Workflow intake
Understand the bottleneck in detail
Pilot shape
Define sources, reviewers, and output
Next step
Mapping, pilot scoping, or a no-fit answer
Know the workflow you want assessed?
Bring the files, systems, reviewers, current output, and the manual step that is costing time or margin.