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Service · 08
AI Agent Development
Task-specific agents that call your tools safely—research, ops, support, and internal copilots with observability, not infinite autonomous loops in production.
21 daysTypical pilot scope
At a glance
Who we serve, what we deliver, what happens next
Who we serve
Teams automating repeatable knowledge work with LLM agents—support triage, sales research, dev ops, or customer onboarding.
What we deliver
Agent design, tool gateways, memory policies, human approval steps, logging, and deployment aligned with your security model.
What happens next
Describe the workflow at /connect or explore a fixed pilot via /solutions/ai-pilots.
- Pilot shape
- Often ~21-day fixed scope
- Patterns
- Tool use, MCP-style gateways, RAG
- Safety
- Allowlists, approvals, audit trails
- Team
- HiMat Technology · Chennai · IST
Overview
Agents that stop when the job is done
Useful agents are narrow: clear inputs, bounded tools, explicit stop conditions, and humans in the loop when money or reputation is on the line. HiMat builds agents as software—state machines plus LLM steps—not as open-ended chat sessions glued to your CRM.
We integrate with your APIs, ticketing systems, and document stores using permissioned tool access. Where Model Context Protocol or similar gateways fit your stack, we implement them with timeouts, retries, and structured logs you can review.
Engagements often start as a fixed-scope pilot, then expand by workflow once metrics and guardrails prove out.
Capabilities
What We Offer
Capabilities tailored to your goals
01
Workflow Agents
Single-purpose agents for research, summarization, ticket routing, or data enrichment with defined success criteria.
02
Multi-Agent Orchestration
Coordinator patterns when tasks split across specialists—without uncontrolled agent-to-agent chatter.
03
Tool & API Gateways
Authenticated tool calls with scoped credentials, rate limits, and sandboxed side effects.
04
Memory & Context
Session memory, retrieval from your knowledge base, and policies for what must never be stored.
05
Human-in-the-Loop
Approval queues, draft modes, and rollback paths before agents write to production systems.
06
Observability
Traces of each tool call, token usage, and failure taxonomy for continuous improvement.
Process
How We Work
01
Workflow Mapping
Identify triggers, tools, data sources, and escalation paths with your domain owners.
02
Agent Design Doc
Tool allowlist, prompt strategy, eval cases, and rollout phases—reviewed before build.
03
Implement & Wire
Connect agents to staging systems first; production keys only after sign-off.
04
Eval & Red Team
Scenario tests for misuse, prompt injection, and tool abuse on your real endpoints.
05
Pilot → Production
Measure time saved and error rates; expand scope only when metrics justify it.
Advantage
Why HiMat
01
Security-First Tooling
We assume hostile inputs and design denylists, output filters, and least-privilege keys.
02
Pilot-Friendly
Fixed-scope pilots de-risk agent projects before you commit to platform-wide rollouts.
03
Integrates with Your Stack
Agents meet your existing auth, CRM, and ticketing—not a parallel silo.
04
Engineering-Led
Senior builders from HiMat Chennai—remote delivery with clear async artifacts.
Stack
Technologies & Tools
Next.jsPythonNode.jsOpenAI / Anthropic APIsMCP-compatible gatewaysPostgreSQLRedisPineconeTemporal / queue workersOpenTelemetryVercel / AWS
Frequently asked questions
Related insight
Agentic RAG architecture for grounded, citeable answers.
Automate a workflow with agents?
Tell us the task, systems involved, and risk tolerance—we will propose a pilot or full build path.
Book a consultation