Agentic AI Built to Run Your Operations
We design, build, and operate multi-agent systems inside the platforms and workflows your business already depends on, with the domain depth, integration coverage, and observability that production environments require.
Trusted by pharma, fintech, EdTech, and enterprise operations teams across the UK and India.
Most AI Agents Don't Survive Production
The gap is not the model. It is the integration, the domain context, and the engineering discipline that sit between a working demo and a system your operations can depend on. That is the gap we close.
Of enterprise AI pilots never reach production deployment
Average time from AI pilot to measurable production impact
Named as the primary barrier by most teams that stall
What separates an agent in production from one in a slide deck
Production-grade agentic systems need more than a capable model. They need platforms with the right data access, workflows with defined handoffs, and engineering that holds up after launch.
Platform before model
When agents are built without the platform context they operate in (data models, permission systems, workflow state), they produce outputs that cannot be acted on. Building the platform integration first means the agent has what it needs from day one and the team has a deployment path that already exists.
Domain context, not just data
AI becomes more useful when it understands the entities, relationships, rules, and edge cases that define how your business actually works. Over 9 years inside pharma, fintech, EdTech, recruitment, and network operations give us the domain knowledge that turns a generic agent into one your teams trust.
Governance from the first commit
Human-in-the-loop checkpoints, audit trails, and escalation paths are architectural decisions. Retrofitting them after launch is expensive and incomplete. We design the control points before we write the workflow logic.
Accountability that extends into production
A promising pilot is not the same as a working operating system. Real value comes when AI is embedded in workflows, observable, evaluated, and actively maintained. We operate what we build, long after the first deployment.
How INSNAPSYS Takes AI from Workflow to Production
Defined Workflow First
We identify the specific processes where coordination delay, handoff errors, or volume are the constraint. Not every workflow is a candidate for agentic automation. We start with the ones where the ROI is clear and the integration complexity is manageable.
Integration Before Intelligence
The tool layer (CRM, CMDB, ERP, databases, calendar APIs) is built before the model is connected. An agent is only as capable as the systems it can see and act in.
Explicit Control Points
Where human approval, escalation, or review is required, we design explicit checkpoints into the workflow architecture. Automation handles the repeatable steps; humans own the decisions that matter.
Measured from Day One
Success metrics are agreed in writing before we start. LangSmith observability, evaluation pipelines, and performance baselines are in place before the first user session.
AI Solutions
Explore Our AI Engineering Services
Six capabilities that take an AI initiative from the first workflow to operating at scale.
Six capabilities - scroll to browse
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What Our Clients Are Running in Production
Four systems built on platforms we already operate, each one running in production today.
By the Numbers
Years building production enterprise systems
Enterprise platforms shipped and operated
Agentic systems currently running in production
Industries with hands-on domain-specific depth
Engagement Model
Three ways to start. One outcome, shipped and running.
Every engagement has a defined scope, agreed success metrics, and a working software deliverable. Not a slide deck.
Discovery Sprint
We map your highest-value candidate workflows, model integration complexity and ROI for each, and deliver a prioritised pilot roadmap with a recommended first engagement, with full reasoning behind every recommendation.
- Ranked workflow shortlist with effort and ROI estimates
- Framework selection rationale (LangGraph, CrewAI, or hybrid)
- Recommended pilot brief with scope, success metrics, and timeline
- A clear picture of what to build, regardless of who builds it
Production Pilot
One agent workflow, end to end. Built against your real data, integrated into your live systems, observable from day one via LangSmith, and deployed to a controlled cohort before it touches full production.
- A working agent deployed to a real user cohort
- LangSmith observability dashboard and performance baseline
- Documented expansion roadmap covering what to build next and why
- Proof that agentic AI works for your specific workflow
Agentic Operations Retainer
Once the pilot proves the model, we build, monitor, retrain, and improve your growing agent portfolio. Monthly outcome reports. Quarterly model and framework reviews as the AI landscape evolves.
- A portfolio of agents running parts of your business
- Continuous improvement as models and your workflows evolve
- A partner accountable for outcomes, not hours billed
We work where we have depth
Domain understanding comes from over 9 years of building and operating the platforms these industries depend on, not from domain research done during the pitch.
What Clients Say
About INSNAPSYS
Production-first since 2017.
INSNAPSYS is an engineering company. We have spent over 9 years building and operating enterprise platforms in pharmaceuticals, fintech, EdTech, network operations, and recruitment. The clients we serve are running production systems we designed and still maintain.
When we add an agentic AI layer, the data, integrations, and deployment path already exist. That is what makes the difference between an agent that demonstrates well and one that runs your business.
We stay accountable for what our agents do in production. That accountability is not a value statement. It is how every engagement is structured.
Based in Nashik, India. Serving clients across the UK, UAE, India, and the United States.
Ready to Start?
Build your first production agent.
Start with a two-week Discovery Sprint. We map your highest-value workflows, model the ROI for each, and deliver a prioritised pilot roadmap you can act on, with any partner you choose.