YashodhanTek designs, builds and runs production AI agents for enterprises. They connect to the tools your teams already use, follow your policies, and are tested against your own data before they go live.
A demo answers ten friendly questions. Production means thousands of real ones, every day, with an audit trail. The difference is engineering.
Six services that cover the full path, from choosing the right workflow to running the agent in production.
A planning agent breaks the request down, specialist agents do the work through your tools, and a reviewer checks the result before anything is sent.
Multi-agent engineeringFind the three workflows where agents pay back fastest, with a 90-day roadmap.
StrategyAnswers from your documents, with citations and role-based access.
Knowledge assistantsAutomation that reads documents, decides the next step and asks a person when unsure.
Agentic automationEvaluations, guardrails, tracing and cost control for agents in production.
AgentOpsKubernetes, cloud, DevOps and disaster recovery for AI workloads.
Platform engineeringEach phase ends with something you can test, so you decide whether to continue with evidence in hand.
Map workflows, data, tools and risk. Choose the first use case and agree the golden dataset.
A working agent on your real data, scored against the dataset every day.
Guardrails, policy checks, approval steps, tracing and token budgets.
Phased rollout with dashboards and a tested rollback plan.
Monthly accuracy and cost reviews. New tools and skills added as you grow.
Work that is document-heavy, spread across several tools and governed by clear rules.
Engineering teams with release trains, test farms and deep Jira histories.
High-volume operations where exceptions consume the most staff time.
Document-heavy, regulated work where every decision needs evidence.
Large catalogues and constant publishing across apps and devices.
Clinical and operational content with strict privacy controls.
Universities and training providers serving thousands of learners.
Programme managers used to assemble release status by hand from thousands of Jira issues. Now they ask in plain English and get a cited answer, with any write action checked against policy first.
Read the case studyAgents act on real systems, so control is designed in rather than added later.
Agents, vector stores and model gateways deploy inside your Azure, GCP or AWS tenancy.
Rules written in OPA are checked before every tool call, not just at login.
Every prompt, tool call and decision is traced and kept for review.
You choose which actions need human approval, and agents wait for it.
Start small, see results on your own data, then scale what works.
Fixed price, 2 weeks
Dedicated team, 8–12 weeks
Monthly retainer
Something else on your mind? Ask us directly.
Most first agents reach production in 8 to 12 weeks: a 2-week discovery sprint, 2 to 4 weeks to a working prototype on your data, and 4 to 6 weeks of hardening with evaluations, guardrails and approvals.
We are model-agnostic. We work with Azure OpenAI, Google Gemini, Anthropic Claude and open-weight models such as Qwen, and frameworks including Google ADK, LangGraph and Microsoft Agent Framework. We pick per task based on accuracy, latency and cost.
It does not have to. We deploy agents, vector stores and model gateways inside your Azure, GCP or AWS tenancy, use private model endpoints where available, and log every tool call for audit.
Before we build, we agree a golden dataset of real questions and expected outcomes with you. Every release is tested against it, covering the final answer, the tools the agent called and the path it took.
Both. Agents can create tickets, update records or trigger workflows through your APIs and MCP servers. Write actions run through policy checks and, where you choose, a human approval step.
Running cost depends mainly on model choice and volume. We set a token budget per workflow, show cost per task on a dashboard and route simpler steps to cheaper models.
In a 30-minute call with a senior architect, you'll learn whether an agent can take it on, what it would cost to build and run, and how we'd prove it works.
At YashodhanTEK, we drive innovation by offering cutting-edge services in AI/ML, Quality Assurance, OTT App Development, Cloud Solutions, and Digital Transformation, helping businesses stay ahead in a rapidly evolving landscape.
YashodhanTEK Private Limited
Plot No.7, Arunodhaya Colony
Madhapur, Hyderabad – 500081
+91 7842934538
contact@yashodhantek.com
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