Problem
A chatbot that only replies in text cannot update a record, open a ticket correctly, or follow a multi-step policy. Without tools, evaluation, and monitoring, it becomes another channel to staff — not a worker.
Task-oriented agents
Agents that complete work inside business systems — not chat that stops at an answer.
GillTech AI builds production agents that retrieve knowledge, call tools and APIs, run multi-step tasks, request approval, and escalate when they should not act alone.
Solution
The company designs agents around tasks: allowed tools, knowledge sources, stop conditions, human approval, and audit trails. Agents are evaluated against real jobs, not just conversational fluency.
Capabilities
- Task automation with defined goals
- Tool and function calling
- Business API integration
- Knowledge retrieval (RAG)
- Multi-step workflows
- Human approval gates
- Escalation paths
- Monitoring, evaluation, and security controls
Use cases
Support agents that look up policy, draft actions, and wait for approval on irreversible steps
Operations agents that gather context from several systems before proposing a next action
Internal knowledge agents that cite sources and refuse when evidence is missing
Onboarding or intake agents that write structured data into the system of record
How a production agent works
A constrained worker: retrieve, act, stop, record. Not a chatbot that only generates text.
- 01 Understand tasks
- 02 Retrieve information
- 03 Call tools
- 04 Use APIs
- 05 Execute workflows
- 06 Apply business rules
- 07 Request approval
- 08 Escalate
- 09 Log actions
- 10 Be monitored
- 11 Be evaluated
Chatbot → Copilot → AI Agent
A production agent is not a better chatbot. It is a constrained worker that can retrieve knowledge, use tools, follow rules, and stop when a person must decide.
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Stage 1
Chatbot
Answers in natural language. Useful for FAQs. Cannot reliably use business tools or finish a job.
-
Stage 2
Copilot
Drafts beside a person: suggested replies, summaries, or next steps. A human still performs the action.
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Stage 3
AI Agent
Understands a task, retrieves knowledge, calls APIs, follows rules, requests approval, escalates, and records what it did — under monitoring and evaluation.
Chatbot vs production agent
Simple chatbot
- Responds in natural language
- No reliable access to business tools
- Cannot complete a multi-step job
- Quality is judged by how it sounds
- Failures show up as confused customers
Production AI agent
- Acts on a defined task with stop conditions
- Calls APIs, tools, and knowledge sources
- Runs multi-step workflows with state
- Quality is judged by task success and evaluation
- Monitoring, approval, escalation, and audit
Delivery approach
Name the job to be done. Constrain tools and data the agent may touch. Add retrieval for facts, evaluation for task success, and monitoring for drift, cost, and failure. Put a human in the loop wherever the action is hard to undo.
Technology
Tool / function calling
RAG
API gateways
Queues
Audit logs
Evaluation sets
Outcome
Agents that finish operational tasks with guardrails — and a clear difference from a generic chatbot that only generates text.
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Service
AI Engineering
GillTech AI designs and builds AI-powered applications with retrieval, tool use, evaluation, guardrails, and observability — integrated into the software the business already depends on.
Service
AI Automation
GillTech AI automates business and operational workflows with AI, business rules, and integrations into the systems teams already use.
Service
System Integration
GillTech AI connects applications, APIs, databases, CRMs, ERPs, payments, messaging, and internal services into reliable workflows.
Industry
SaaS & Technology
AI features that never leave the lab
Industry
Healthcare
Operational software that is hard to change
Industry
Government & Public Services
Legacy estates and procurement-era systems
Work
Products and illustrative solutions
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Contact
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