Audit-ready AI agents for SOP-driven operations

Automate manual, rule-driven work with trusted AI

Techies Universe builds domain-aware AI systems that help teams interpret SOPs, policies and operational rules with citations, guardrails and traceability. Faster decisions. Lower operational load. Better compliance control.

Internal SOP Assistant Grievance & Case Triage Compliance Support Knowledge-driven Ops Copilot
Typical impact
50%+
reduction in SOP lookup and interpretation time (pilot target)
Every response can include source citations and document version context.
Designed for control
Retrieval-Augmented Generation (RAG) + deterministic validations + role-based access + audit logs to reduce hallucination risk and increase trust.

Pilot in 2–4 weeks

Deploy an internal SOP Assistant using your approved documents and measurable success metrics.

See Materials Schedule Discussion

What we solve

Manual interpretation of SOPs and rules creates delays, inconsistency, and operational risk—especially when documents are scattered and versioned.

Slow resolution

Teams waste time searching files and asking SMEs, increasing turnaround time.

Inconsistent decisions

Different agents interpret the same SOP differently; exceptions are handled inconsistently.

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Compliance risk

Outdated SOP usage and undocumented reasoning creates audit and governance gaps.

How it works

A repeatable architecture: curate → ingest → retrieve → answer with citations → evaluate continuously.

Core components
  • Ingestion: SOPs, circulars, guidelines with metadata (effective date, version, owner).
  • RAG retrieval: semantic + metadata filters + re-ranking for relevance and freshness.
  • Answering: structured outputs (steps, checklist, exceptions, SLA) with citations.
  • Governance: RBAC, audit logs, refusal on missing sources, version control.
What you get
  • Reduced SOP lookup time and SME escalations.
  • Consistent guidance across teams and channels.
  • Traceability for audits and management reviews.
  • Faster onboarding for new staff and rotating teams.
We align success metrics at the start of the pilot (accuracy, adoption, time saved).