Good fit when you need
- Repeatable back-office or support tasks that still need judgment
- Safe use of tools against ERP, CRM, or internal APIs
- A path from a prototype chatbot to a governed production agent
Track A · AI Products
Generative AI & Agentic Workflows
Autonomous multi-agent orchestration, human-in-the-loop task routing, and custom tool calling—scoped to your systems of record.
Overview
Agents that operate inside your workflows
We build agent workflows around real tasks: retrieve a record, draft a response, file a ticket, or prepare a change. Tools are scoped to the APIs and data the job needs—not an open-ended bot with production credentials.
High-impact steps stay behind human gates. Every tool call can be logged so operations and risk teams can see what ran, with which inputs, and who approved it.
Capabilities
What we implement
Delivery-focused agent design—not unbounded autonomy.
Multi-agent orchestration
Coordinate specialist agents and tools with argument validation, timeouts, and a clear handoff graph.
Human-in-the-loop
Require approval before writes, payments, customer messages, or privileged lookups.
Step-level audit
Persist prompts, tool results, and decisions so incidents can be reconstructed.
System integration
Connect agents to existing web, mobile, and ERP surfaces instead of a disconnected chat island.
Scope & identity
Run tools under service identities with least privilege, not a shared superuser key.
Evaluation loops
Golden tasks and regression cases so agent changes are tested before they hit users.
Benefits
Why teams choose this path
Useful automation without giving a model the keys to the estate.
- Clear boundary between draft work and production writes
- Operators can see and stop a runaway tool loop
- Fits the Zettai Framework: lock scope before an agent is allowed to act
- A maintainable path after the first demo
Process
How We Deliver
01
Task map
Identify jobs that are tool-shaped, not open chat.
02
Tool contract
Specify APIs, permissions, and approval gates.
03
Pilot
Run on a bounded dataset with human review.
04
Harden
Add logging, evals, and rate limits.
05
Operate
Hand over runbooks and expansion backlog.
Technologies
Tools We Work With
Orchestration
PythonLangChainLlamaIndexLiteLLM
Models & cloud
Azure OpenAIAWS BedrockAnthropic Claude API
Delivery
EvaluationAudit logsHuman gates
FAQ
Common Questions
Read-only or low-risk steps can run automatically. Writes and customer-facing actions typically require a human gate until the task set is proven.
Yes. We prefer agents as a layer on APIs you already own—web, mobile, ERP—rather than a standalone product that duplicates data.
Many agents retrieve documents or records first. Enterprise RAG is the retrieval layer; agentic workflows add tools and actions on top.
Have a workflow that should not be a chatbot?
We’ll help you decide which steps are tools, which need a person, and what to lock before build.