AI Agent Development
Custom agents that do the work, not just answer questions.
AI Agents, in plain terms
Purpose-built AI agents that take action inside your business: raising tickets, drafting responses, reconciling documents, querying internal knowledge. We design the agentic architecture, connect the tools, and put evaluation and guardrails in place so the agent is measurable rather than merely impressive.
What you get
- Agents that call real systems, not demos on static data
- Evaluation scores before and after every prompt or model change
- Per-conversation cost visibility from the first day in production
Who it is for
- Support leaders drowning in repetitive tier-one tickets
- Operations teams doing high-volume document processing by hand
- Sales teams that need a qualification assistant on live data
- Engineering leaders building an internal copilot over private knowledge
Everything in scope
No line item here is an upsell. This is what the engagement covers as standard.
Agentic architecture design
Task decomposition, planning strategy, memory design and the decision boundary between agent and human.
Tool & function integration
The agent calls your real systems: CRM, ERP, ticketing, internal APIs and databases, with permissions respected.
RAG over your knowledge base
Retrieval pipelines with chunking, embedding and re-ranking tuned to your document set, plus citation of sources.
LLM orchestration & model choice
Model selection and routing balanced across quality, latency and cost, with fallbacks when a provider degrades.
Guardrails & evaluation
Prompt-injection defences, output validation, escalation paths and a regression suite that scores every change.
Observability & cost control
Token-level tracing, per-conversation cost reporting and alerting when behaviour or spend drifts.
How this engagement runs
You always know which conversation comes next and what it produces.
- 01
Qualify the use case
We pressure-test whether an agent is genuinely the right tool for the job.
- 02
Design the agent
Tools, memory, planning strategy and the human handoff boundary.
- 03
Prototype & evaluate
A working agent on real data, scored against a task-level evaluation set.
- 04
Harden & integrate
Guardrails, permissions, audit logging and integration with live systems.
- 05
Deploy & operate
Monitoring, cost tracking and continuous evaluation as usage grows.
What we build with
We choose from this set based on your constraints and existing stack, not on what we most enjoy using.
- Models
- OpenAIAnthropic ClaudeGoogle GeminiLlamaMistral
- Frameworks
- LangGraphLlamaIndexModel Context ProtocolSemantic Kernel
- Retrieval
- pgvectorPineconeWeaviateElasticsearchHybrid search
- Operations
- LangSmithEvaluation harnessesGuardrailsOpenTelemetry
What clients ask before starting
The awkward questions included, because they are the ones that decide whether an engagement works.
Scope an AI agent
Tell us where you are now and what you are trying to reach. You will get a considered reply from a person who has done this work.
We respond to every enquiry within 24 business hours.
Or call +91 8412009002
Other services
- Software DevelopmentRequirement gathering to cloud cost optimization, under one roof.
- Staff AugmentationVetted engineers from 6 months to 20+ years, deployed fast.
- AI/ML ProjectsModels that reach production, and stay useful there.
- Custom SoftwareSoftware shaped around your process, not the other way round.
Ready to talk about ai agents?
Bring the constraint you are stuck on. We will be direct about whether we can help and what it takes.