AI Workflow Audit
A concrete first paid step before you build anything.
The AI Workflow Audit examines one repeated workflow using real examples from your business. You get a practical recommendation: pilot it, automate a simpler piece, clean up the process, or leave it alone.
The discovery call is the fit check. If the workflow is real, repeated, and worth inspecting, the audit is the next step — not an open-ended build.
Book a workflow discovery callAudit deliverables
Scope
One workflow or one closely related business area. Enough focus to make a real decision, not a generic AI strategy deck.
Timeline
Typically 1–2 weeks after kickoff, depending on access to examples, systems, and workflow owners.
Decision output
The output should make the next step obvious: no fit, process cleanup, simpler automation, or a narrow AI workflow pilot.
When to buy this
Buy the audit when one repeated workflow is painful enough to inspect, but not clear enough to build yet.
The audit is for the moment between knowing the work is costing the team and knowing what to do about it. HighTide turns the current workflow, examples, bottlenecks, and risks into a practical next-step recommendation: pilot AI, use simpler automation, clean up the process, or stop with no build.
A real workflow
The work happens today, repeats often, and has examples your team can show.
Cost is showing up
The drag is visible in delays, missed follow-ups, rework, reporting time, or senior people pulled into cleanup.
The next step is unclear
You can see the pain, but you do not yet know whether the answer is AI, simpler automation, process cleanup, or no build.
Audit process
What happens during the audit.
The work stays grounded in the current workflow, real examples, and the control points your team needs to trust the result.
Workflow intake
We review the workflow owner’s description, examples, current pain points, systems involved, and where work slows down.
Current-state mapping
We map the actual path work takes today: inputs, handoffs, approvals, exceptions, rework, and final outputs.
Fit and risk review
We identify where AI may help, where simple automation is enough, and where human review must stay in place.
Pilot recommendation
You receive a practical recommendation with scope, success metric, rough timeline, and next-step options.
Example audit artifact
Workflow
New request → summary → missing details → review → system update or follow-up draft
Bottleneck
Manual triage and follow-up drafts
AI fit
High for summarization, routing suggestions, and draft prep
Risk level
Medium: customer-facing language requires approval
Next step
Pilot intake summary and response draft with human approval before action
Success metric
First-response time, manual steps removed, review accuracy
Good audit fit
- The workflow is repeated often enough to measure
- A team owner can explain how the work actually happens
- Real examples, templates, docs, reports, or system fields are available
- The team is willing to define review rules before automation
What the audit is not
- • Not a generic AI strategy deck
- • Not a chatbot demo looking for a problem
- • Not a promise to replace staff
- • Not a recommendation to rebuild software before understanding the workflow
- • Not a build commitment if the workflow is not a good fit