
AI-Driven Expert Matching Platform
FIND AI Discovery: Assessment identified manual expert-client matching as the primary bottleneck consuming 70% of operations time. Impact/Feasibility matrix scored multi-LLM approach highest...
FIND AI by Intetics
Framework for Intelligent Needs Discovery
Move from fragmented pilots and ideas to a scalable,
value-creating execution plan.
Align on objectives, conduct 10–20 stakeholder interviews, run readiness surveys, and review key documents.

Analyze all inputs, apply our 1–5 maturity model, generate the readiness radar chart, and identify key systemic gaps.

Co-create and score potential AI/GenAI use cases, visualizing them on an Impact vs. Feasibility matrix to select the right first moves.

Deliver the phased (H0–H2) execution roadmap, quantified value case, dependency map, and final executive presentation.



FIND AI Discovery: Assessment identified manual expert-client matching as the primary bottleneck consuming 70% of operations time. Impact/Feasibility matrix scored multi-LLM approach highest...

FIND AI Discovery: Assessment showed employees spent 50% of time searching across Confluence, JIRA, and SharePoint. Talent dimension gap identified — no dedicated ML engineers. Hybrid se...

FIND AI Discovery: Assessment identified manual drone image inspection as highest-impact automation opportunity. Tech stack dimension scored 3/5 — legacy systems required integration layer...

FIND AI Discovery: Readiness assessment revealed 80% of support queries were repetitive documentation lookups. Data dimension scored 4/5 — rich document corpus available. Roadmap prioritized...