← SenseSteerSecond InningsSME Agents

An SME agent that runs ~70% of the job.

It knows the workflow steps, the skill & tool each one needs, and who to escalate to — powered by your models, ontology graph and data. Teach it by talking; then it runs alongside the operator.

Maintenance SME · live
Live · gpt-4o-mini

Type or speak a real problem — the agent reasons over the workflow:

…or go off-script — it escalates what it shouldn’t do itself.

Live LLM over the workflow ontology · voice n/a here · prod swaps in Bhashini/Whisper

Coverageof daily tasks
75%agent-run
45%Agent does it
30%Agent guides you
25%Escalate to human

The agent escalates the 25% that needs human judgment — a winding fault, a safety stop.

The agent's brain — workflow & skills
1
Capture the symptom
🛠 Intake·Voice·⏱ instantAgent does it
2
Safety — lockout / tagout
🛠 LOTO·Lock kit·⏱ before any workAgent guides you
3
Triage the cause
🛠 Electrical diagnostics·Multimeter·⏱ 5 minAgent does it
4
Test the capacitor
🛠 Electrical·Multimeter·⏱ 10 minAgent guides you
5
Check & order the part
🛠 Inventory·CMMS·⏱ instantAgent does it
6
Guided replacement
🛠 Mechanical·Hand tools·⏱ 30 minAgent guides you
7
Senior electrician review
🛠 Judgment·—·⏱ if still deadEscalate to human
8
Test, verify & log
🛠 Documentation·CMMS·⏱ instantAgent does it
Under the hood (reusing what we already built): the Maintenance agent is wired live — gpt-4o-mini reasoning over the workflow ontology for both Teach and Run (type anything; it escalates what it shouldn't do itself). Production & Ops are seeded previews on the same engine. Production path swaps browser voice → Bhashini/Whisper (multilingual) and persists the ontology to the knowledge graph.Back to overview
← SenseSteer