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GrahAI Systems
Professional AI Services Hub

An AI agent development company that ships real systems

We design, build and operate autonomous AI agents that take real actions in your stack — with guardrails, evals and cost control engineered in from day one.

What this means for your business

Most agencies will demo a chatbot in a week and leave you holding a prototype that breaks the moment real users touch it. We are an AI product studio — we run our own production AI products serving real, paying customers every day — so we build agents the way we build our own systems: with retries, evals, fallbacks and full observability.

An AI agent does more than answer questions. It calls your APIs, queries your databases, fills forms, escalates to humans and completes multi-step work. That is where most teams fail, because tool-use and state management are hard. It is exactly the engineering we do for a living.

You get a single accountable partner who scopes the outcome, builds the system, instruments it and stays on to operate it. The goal is measurable: fewer manual hours, lower error rates and a faster path from idea to production.

What we build

1

Tool-using agents

Agents wired to your APIs, databases and SaaS tools that complete real multi-step tasks, not just chat.

2

Human-in-the-loop

Approval gates, confidence thresholds and escalation paths so an agent never takes a risky action unsupervised.

3

Evaluation harness

Automated eval suites that score accuracy and regressions on every change before it reaches production.

4

LLM cost control

Model routing, caching and prompt compression to keep token spend predictable at scale.

5

Observability

Per-step tracing, latency and failure dashboards so you can see exactly what the agent did and why.

6

Operate & iterate

We stay on after launch to monitor, tune and extend the agent as your workflows evolve.

Implementation details

Capability ParameterSystem Specification
OrchestrationTool-use loops with planning, retries and deterministic fallbacks
ModelsFrontier + open models, routed per task for cost and accuracy
StackNext.js, TypeScript, serverless functions, vector + relational stores
IntegrationsREST/GraphQL APIs, webhooks, CRMs, ERPs and internal systems
EngagementFixed-scope build (4–10 weeks) then optional operate retainer
Typical budget₹20L–₹50L / $20k–$60k per production system

Frequently Asked Questions

Let's Build Your AI System

Whether you need an AI chatbot, workflow automation, document intelligence platform, or a complete custom AI SaaS product, our product engineers can build it.

Book Free Discovery Call
Or write to us directlysupport@grahai.com

Bengaluru, Karnataka, India