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.
Our Methodology
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.
Engagement Tiers
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
What every engagement includes
- A defined scope and agreed success metrics before work starts
- A working software deliverable - not a slide deck
- Observability and evaluation built in from day one
- One accountable team across integration and AI work
How engagements typically progress
Most clients start with a Discovery Sprint to identify the highest-value workflow and validate the approach. That leads into a Production Pilot: one workflow, built end to end and deployed to a controlled cohort. Once the pilot proves the model, the Agentic Operations Retainer takes over, expanding the agent portfolio and keeping it observed, evaluated, and improving.
FAQs
Common Questions About Engaging INSNAPSYS
What are the three ways to work with INSNAPSYS?
Three ways to start: a Discovery Sprint, a Production Pilot, and an Agentic Operations Retainer. Every engagement ships working software, not a slide deck.
What does every engagement include?
Every engagement starts with a defined scope and agreed success metrics, ships as working software rather than a slide deck, builds in observability and evaluation from day one, and runs under one team accountable for both the integration work and the AI work.
How do engagements typically progress?
We start with a Discovery Sprint to find your highest-value workflow and prove the approach out. From there, a Production Pilot takes that one workflow live end to end for a controlled group of users. Once results back the model up, the Agentic Operations Retainer picks up the reins, growing the agent portfolio while keeping every agent observed, evaluated, and tuned.
Ready to Start?
Build an AI Strategy Your Team Can Act On
Start with a two-week Discovery Sprint. We map your highest-value workflows and deliver a prioritised pilot roadmap you can act on, with any partner you choose.