From AI ambition to agents in production outcomes delivered, not experiments
Outcomes we deliver
The discipline, quality and partnership enterprises have trusted for years, brought to AI — in an outcome-based model where we’re accountable for results, not effort.
Structured AI roadmap to business value
AI-led analysis of how work really flows — surfacing the highest-value opportunities, baselining performance so value is measured not assumed, and producing a prioritized roadmap from assessment to action.
Accelerated AI engineering
A modernized stack for agents and orchestration — frameworks, connectors, pipelines, observability, guardrails and immutable audit trails. Our accelerators applied to your environment, built to run reliably at scale.
Expert Services
Workforce enablement, Forward Deployed Engineers embedded in your teams, and a proven delivery framework that de-risks the path to production — leaving capability with you, not dependence on us.
AI agents deliver value at scale—but getting them there is the real challenge.
Legacy integration, limited observability and unclear ownership are keeping most AI agent initiatives from moving beyond the pilot stage.
- of enterprises have AI agent pilots
- 78%
- reach production scale
- <15%
- average return per $1 invested
- 3.7×
Source: Enterprise AI agent scaling survey, March 2026 · IDC/Microsoft GenAI ROI, 2026
That’s where Precision comes in.
Every AI Services engagement follows a proven, outcome-based path — from roadmap to agents running and scaling in production.
Governance, guardrails and operational readiness are engineered in from day one, not retrofitted when something breaks.
- ~6 wks
- Initiation to AI capability in production
- Day 1
- Governance, guardrails, operational readiness
- Agnostic
- Any agentic ecosystem — no lock-in
- Outcome
- Accountable for results, not effort
Our delivery approach
01. Assess & Roadmap
Highest-value opportunities, prioritized, with a clear business case and expected ROI.
02. Engineer & Build
Orchestrated agents on a modern AI stack, with guardrails and observability engineered in.
03. Deploy & Enable
Into production with FDEs embedded alongside your teams and governance from day one.
04. Run & Scale
Monitor and optimize in production — performance up, cost controlled, what works scaled.
Become ready for what’s next.
Transformation isn’t about keeping pace with change. It’s about building an organization that’s ready for whatever comes next.