AI Agents for Ops

Role-specific assistants: proposal helper, QA doc bot, triage assistant.

Faster answers
Standardized outputs
Captured know-how
See example agents

Deliverables

Agent prompts and system instructions
Custom tools and function calls
Retrieval pipelines for documents
Guardrails and validation rules
Human-in-the-loop workflows
Integration with existing systems
Monitoring and feedback loops
Knowledge base management

Example Agents

Proposal Helper

Drafts technical sections, BOMs, and risk summaries from your documentation and customer requirements. Engineers review and finalize.

QA Doc Bot

Answers questions about quality procedures, generates inspection checklists, and finds relevant standards from your QA library.

Triage Assistant

Routes incoming requests (customer inquiries, maintenance tickets, change orders) to the right team with context and urgency.

Compliance Checker

Reviews documents against regulatory requirements, flags gaps, and suggests corrections based on approved templates.

How It Works

1. Knowledge Ingestion

We index your documentation, standards, past projects, and approved templates into retrieval pipelines that agents can query.

2. Agent Configuration

Custom prompts, guardrails, and tools tailored to each role. Agents know what they can and cannot do, when to escalate, and how to format outputs.

3. Human-in-the-Loop

Agents draft, suggest, and prepare work—but experts review and approve. Feedback loops improve agent performance over time.

4. Continuous Improvement

Monitor usage, capture corrections, and update knowledge bases. Agents get smarter as your team refines them.

Ready to deploy role-specific agents?

See example agents and discuss which roles we can augment with AI assistants.

See example agents