AI Automation Opportunity Scanner
Find the workflows your team should automate first.
Map repetitive work, surface the highest-value automation opportunities, and leave with a prioritized roadmap in a single guided session.
Phase 2 intake
Start the scan with a structured workflow intake.
This shell captures the manual work context first, keeps draft state locally, and sets up the later evidence upload and adaptive interview layers.
Drafts autosave locally in this browser until you save the submission.
Step 1 of 5
What the scanner should do
Outcome-first analysis, not generic AI brainstorming.
Inspect recurring work
Capture the workflows, handoffs, approval steps, and operational drag that already consume time every week.
Prioritize the right implementation pattern
Separate deterministic automation, AI extraction, retrieval, and agent orchestration so the recommendation fits the workflow.
Leave with an ROI-ranked roadmap
Translate workflow evidence into hours saved, annual value, confidence notes, and a clear first implementation step.
Recommendation guardrails
Every opportunity gets classified before it gets sold.
Workflow automation
Best for stable rules, predictable handoffs, and repetitive system-to-system work.
AI extraction
Best for pulling structured data from documents, inboxes, screenshots, and exports.
RAG assistant
Best for answer retrieval when operators need grounded guidance from SOPs and internal knowledge.
Agent orchestration
Best for multi-step coordination where tools, approvals, and exception handling all matter.
Not a good fit
Used when the workflow is too unstable, too ad hoc, or too low-value to automate responsibly.