Giggit helps small and mid-size businesses put AI agents to work where mistakes are costly. Every system includes testing, audit trails, and human sign-off on critical steps, so it can be trusted in production.
Three build services and an advisory track, all built on one rule: the AI drafts, and humans decide what goes through.
Multi-step agent workflows with orchestration, tool use, retries, and human checkpoints. One agent proposes and others check, for decisions where a wrong action has real consequences.
What you get: a working agent workflow your team can run and audit
Retrieval pipelines measured end to end, from ingestion to reranking. Knowledge-graph layers (GraphRAG, entity resolution, org and risk graphs) where relationships carry the answer.
What you get: retrieval quality you can measure
Evaluation harnesses at the task and trajectory level, cost and latency engineering, and documentation written for model-risk review.
What you get: tests, controls, and documentation you can show an auditor
Not every problem needs a build. We advise on AI strategy, model and vendor selection, workflow redesign, and the operating controls around adoption. The same discipline, applied before any code is written.
What you get: a decision you can defend, with the trade-offs on paper
Engagements run in short loops with a checkpoint at every step. Scope is fixed, and the success measure is agreed in writing before work starts.
Engagements start with a short working session. You leave with a clear read on what agents can and cannot do for you.
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