Inteq Agentic AI Consulting - Stage 5

Turn strategy and design into working agents - then scale with governance and measurable performance.

We work with your team to ensure your strategy and design translate into AI agents that operate reliably in production. We support development and mplementation through seamless handoff to your in-house team, Inteq's development team and/or your trusted delivery partners - while establishing governance, measurement, and portfolio management to scale responsibly.

A short exploratory conversation to confirm fit, scope, and what should happen next.

Stage 5 — Delivery

The gap between “prototype” and “production” is where most agent initiatives fail. This engagement focuses on development and implementation that is reliable, governable, and measurable - and creates the operating model needed to scale beyond the first agent.

 

What we develop and implement: the agent solution in the context of real systems and workflows - including integration points, controls, and exception handling.

What we operationalize: AI agents, governance, performance measurement, and lifecycle management so agents remain auditable, predictable, and aligned to outcomes over time.

What you get: production-ready AI Agents and a delivery path with metrics and management practices that support ongoing scale.

• ✓AI Agent development and implementation
• ✓Integration and workflow operationalization (systems, triggers, handoffs)
• ✓Governance implementation (policy, controls, auditability, approvals)
• ✓Performance measurement design (KPIs, monitoring, evaluation cycles)
• ✓Portfolio management and scale path (waves, standards, repeatability)

• ✓Implementation Plan (roles, milestones, dependencies, delivery approach)
• ✓Production readiness checklist (risk, controls, exceptions, compliance)
• ✓Governance & operating model package (ownership, review cadence, audit)
• ✓Performance measurement framework (KPIs, monitoring, evaluation approach)

• ✓Moves agents from proof-of-concept to reliable production execution
• ✓Reduces operational risk through controls, monitoring, and lifecycle management
• ✓Establishes measurable performance tied to business outcomes
• ✓Creates repeatable standards for scaling multiple agents and teams
• ✓Aligns delivery with governance expectations and executive accountability

• ✓You have AI Agent designs but need a production implementation path
• ✓You need governance, monitoring, and measurable performance from day one
• ✓You are handing off delivery to in-house teams or partners and need alignment
• ✓You want a scalable operating model for multiple agents and use cases
• ✓You need a defensible approach for production readiness, risk, and compliance

Scaling agentic AI requires more than building agents - it requires production delivery, governance, and measurement. This engagement turns strategy into working agents and establishes the operating model to scale responsibly across the enterprise.