DEPLOYPROAI ENGINEERING · AI TRANSFORMATION · AGENTIC AI
Agents that finish the work,inside your controls.
We engineer agents that reason, call your tools, connect your systems, and complete workflows end to end. They operate within your permissions, hand off when needed, and are measured against your own baseline.
- NDA-first
- Runs in your environment
- Measured with DORA + SPACE
- SOC 2 practices
- GDPR / DPDP ready
The problem
A good answer still leaves a person to do the work.
- Answers still need routing, updates and follow-through
- Multi-agent systems often add more complexity than value
- Permissions and exception paths are bolted on too late
- Work outside tickets is never measured
Step 1
Map and measure
Define the outcome, current workflow, decisions and exceptions. Establish a baseline before any change.
Step 2
Design the system
Set roles, boundaries, context and memory. Decide what to automate, and what should not be.
Step 3
Connect your systems
Wire APIs, data and workflows with explicit permissions and a defined path for every failure.
Step 4
Evaluate and operate
Test completion, safety and exceptions, then monitor and govern in production.
What we build
Agents that turn context into governed action.
Discovery, baseline and guarantee
We define the target upfront, decompose the workflow, and measure against a baseline.
Architecture and orchestration
Simple systems that finish the job. Roles, planning, delegation and state handled cleanly.
Tools, APIs and permissions
Agents operate within your systems, with identity, access and controls enforced.
Context, memory and retrieval
Your knowledge, structured and accessible across documents, systems and interactions.
Evaluation and governance
Policy checks, task evaluations, approvals, audit trails and production monitoring.
Voice AI in three languages
Real-time voice across workflows, with routing, handoffs and full transcript.
What you walk away with
Deliverables. Not promises.
Outcome and workflow blueprint
What changes, how it works, and how success is measured.
Agent architecture and handoffs
Roles, responsibilities, and how agents and humans interact.
Systems, APIs and permissions map
Every integration, access boundary and control point defined.
Context, memory and retrieval design
How your knowledge is structured and used in execution.
Working agent in your environment
Running inside your systems, completing real workflows.
Evaluation, audit and operating runbook
Guardrails, test coverage, monitoring, escalation paths, and day-to-day operation.
Two ways to start
Two ways to start. Same outcome guarantee.
Adapt an existing agent to your systems, or design one around your process. In both cases, we baseline, measure, and commit to the result.
Proven Across Enterprises and Academia
- India's Largest Health Insurer
IIT Bombay
Customer outcomes
Solutions engineered for impact
FAQs
Frequently asked questions
We start with a measured baseline of your current process and agree the target upfront, in writing. Progress is tracked against your own data. If the target is not met, we continue working at no additional cost until it is.
Agents operate within your environment, using your APIs, permissions and identity systems. Every action is logged, evaluated and governed, with defined escalation paths to humans.
We design around your existing systems wherever possible. Each workflow includes exception paths, fallbacks and human handoffs. Failures are expected, tested and monitored.
Start with the outcome.
Tell us the process you want changed and what it costs you today.
We will define how to measure it, what it will take, and what “done” looks like.
- NDA-first
- Your codebase
- Measured with DORA and SPACE
- GDPR
- DPDP
- SOC 2 practices
- PCI-DSS
- IRDAI-aware
- EU AI Act