AI Agent Development
Custom AI agents, built for your workflow and handed over.
Most AI agencies sell you a demo. Avdhan designs the agent around one job in your operation, ships it to production with guardrails and evals, then hands over the code, the docs and the training — so it keeps running without us.
What we build here
Lead Scoring & Routing
Scores every inbound lead and puts it in front of the right rep.
Cold Outreach — Email & Voice
Researches each account, personalises the sequence, books the meeting.
CRM Hygiene
Dedupes records, enriches contacts, and nudges deals that have gone quiet.
Deep Research Briefs
Reads widely, cross-checks sources, returns a decision-ready brief.
Recurring Reports
Compiles the weekly numbers and sends them before anyone asks.
Support Triage
Answers the repeat questions and escalates the ones that need a human.
A good fit when
- A team is spending hours weekly on work that follows known rules
- You've tried a no-code bot and hit its ceiling
- You need the agent auditable — every decision logged and reviewable
- You want your own team able to run and extend it after handover
Why trust this
6+ GenAI products shipped
Across e-commerce, publications, STEM and internal tooling — including Shakti, which contributed a 20–30% monthly revenue uplift through listing optimisation.
See shipped workHow we work
The first call is free and ends with a written read on where AI fits — whether or not we work together. Pilots are fixed-scope and typically ship in 2–4 weeks.
01
Audit
Map where AI creates real leverage.
02
Design
Architecture, prompts, guardrails, evals.
03
Build
Ship an MVP, then production system.
04
Handover
Docs, monitoring, and team enablement.
Questions buyers ask
What does it cost to build a custom AI agent?
Every build is fixed-scope and fixed-price, agreed before work starts. A pilot agent typically ships in 2–4 weeks. The first 30-minute scoping call is free and ends with a written read on where an agent fits — whether or not we continue.
How is an AI agent different from a chatbot?
A chatbot answers questions; an agent finishes a job. It connects to your actual tools — CRM, inbox, sheets, internal APIs — makes decisions inside guardrails you approve, and completes the workflow end to end, with every step logged.
Which models and stack do you build on?
Whatever fits the job: OpenAI, Claude and Gemini models, orchestrated with custom code or n8n where it's the faster path. The agent runs on your infrastructure and your API keys, so you're never locked into us or a single vendor.
Who owns the code and IP?
You do, entirely. Everything is built in your repositories, on your accounts, and handed over with documentation and team training. If we part ways, everything keeps running without us.
What happens after handover — do agents need maintenance?
Agents ship with monitoring, fallbacks and docs, and your team is trained to operate them. Optional support retainers exist, but nothing is designed to require one — no black boxes.
Scope your first agent
A 30-minute call: your workflow, where AI actually fits, and what it would take.