AI Agents & Copilots (pilot‑to‑production)

Task‑oriented AI agents that plan, act, and coordinate across tools to complete work—from research and content ops to data enrichment and back‑office tasks—built with guardrails, observability, and human‑in‑the‑loop where needed.

What We Deliver

Agent design: goals, toolset, memory, and decision policy
Connectors to apps/APIs, RPA, web, and data stores
Guardrails, safety checks, and approval steps
Telemetry, evals, and performance dashboards
Pilot → production hardening and operations

Example Agents

Research & Briefing Agent

Collect, de‑duplicate, and summarize sources; compile a brief with citations and open questions.

Multi‑step plans with source tracking and freshness checks
Retrieval‑augmented synthesis and hallucination defenses
One‑click export to Docs/Slides or email

Back‑Office Automation Agent

Enrich records, draft messages, update systems, and file artifacts with approvals where needed.

Integrates CRM/ERP, email, file stores, and forms
Policy checks on data writes; review queues for exceptions
Metrics: tasks completed, cycle time, accuracy

Architecture & Operations

Planner/Executor separation with interpretable traces
Tool adapters, secrets, and environment isolation
Memory design: episodic, semantic, and project context
Evals, synthetic tests, and rollout controls
Observability: logs, events, prompts, and outcomes

Ready to pilot an agent?

We’ll scope a focused use case, stand up the stack, and harden for production with the right guardrails.