Applied AI
Agentic workflow engineering
Multi-step agents with tools, bounded autonomy, human checkpoints and a full audit trail of what the agent did and why.
8–12 weeksTypical duration
The problem this solves
You want an agent to do real work, and you cannot deploy something whose actions you cannot review or reverse.
What you receive
Artefacts you can hold, and that you can accept or refuse — never a list of activities.
- The workflow modelled explicitly, with the autonomy boundary stated per step
- Tool integrations with permissions scoped per tool and per caller
- Human checkpoints at the steps where a mistake is expensive
- A complete audit trail recording every action, its input, its output and its cost
Also in applied ai
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A retrieval layer over your corpus, with ingestion, chunking and evaluation treated as engineering rather than as configuration.
Voice agents
Speech recognition, a reasoning layer and speech synthesis assembled into an assistant that answers inside a human conversational turn.