Workflow discovery
Map the work as it actually happens: inputs, handoffs, review loops, exceptions, and the places where AI can safely increase throughput.
AI Workflow Consulting
AI workflows that produce reliable output.
Not slop.
I sit with your teams, map how the work actually happens, then design AI workflows that multiply throughput across every department: structured inputs, review gates, clean handoffs, and rollout support.
founder-led workflow design
Product thinking, process mapping, and implementation discipline in one engagement.
10-50x
targeted output gain when the workflow is designed around real review paths
4 phases
discovery, interviews, design, rollout
0 prompt chaos
teams use shared systems instead of improvising
The problem
Most companies are afraid of AI for good reason.
Review gate
AI output moves through clear human judgment before it reaches clients or teams.
Naïve adoption produces unreliable output that wastes more time than it saves. Reliable AI requires a system — structured prompts, guarded inputs, integrated review, and clear handoffs between humans and models. That system has to fit the way your departments already operate, not replace them with a chatbot bolt-on.
Done right, the same teams can produce 10–50× the output, with higher quality and lower variance.
What gets built
Consulting that turns into a working operating system.
Department AI systems
Design practical AI-assisted workflows for legal, operations, finance, support, sales, and leadership teams without asking people to invent prompts from scratch.
Prompt and process libraries
Turn scattered know-how into reusable playbooks, templates, review gates, and operating rules that produce consistent output across the company.
Rollout and training
Ship the workflow with team training, implementation support, adoption checks, and a simple measurement loop so it survives first contact with real work.
Methodology
How an engagement works.
- 01
Discovery
Clarify the company structure, service lines, constraints, tools, approval paths, and the business outcomes the engagement has to move.
- 02
Department interviews
Sit with the people doing the work and document the real sequence of inputs, judgment calls, reviews, rework, and final delivery.
- 03
Design
Build the AI workflow: prompts, retrieval inputs, approval gates, exception paths, human review moments, and the success metric.
- 04
Rollout
Train the team, pilot the workflow under real load, tune failure points, and hand over a documented operating rhythm.
Field notes
Monthly · No noise
Get practical AI workflow notes in your inbox.
One useful note when there is something worth saying — concrete patterns from real engagements, not tool hype.
01Review gates— designing the moment of trust
02Workflow maps— what the work really looks like
03Rollout lessons— what survives first contact
Ready to map your AI workflow?
A discovery call is 45 minutes. We’ll review the intake you submit, map your departments, and identify the two or three highest-leverage workflows worth automating first. hello@claverconsult.comif you’d prefer email.