Are You Actually Ready for Agentic AI?
Trusted by our global clients
What our Agentic AI Assessment Covers
Ignite’s Agentic AI Readiness Assessment is a structured evaluation of whether your organisation is actually ready to deploy AI agents responsibly, running across two tracks:
- Technical Readiness: Platform maturity, data governance, workflow visibility, SLA definition, operational maturity.
- Business Readiness: Strategy alignment, governance frameworks, AI ownership, compliance posture, financial accountability.
Why This Matters to You
Automation runs your critical business processes, but AI Agents are now making decisions and triggering actions inside that same environment, often without IT’s knowledge or an audit trail. The organisations that come to regret AI will be the ones that ran it without governance.
We often hear pain points around not knowing how to govern growing AI agents and not knowing what AI agents are actually doing. Both are readiness problems and both are far easier to solve before agents are live:
- AI-driven decisions embedded into production with no audit trail or owner.
- Automation platforms carrying AI behaviour that cannot be reconstructed.
- Execution data too shallow to support post-incident forensic investigation.
- Accountability gaps only surface after compliance failure, regulatory review, or crisis.
How Ignite Delivers the Assessment
The Agentic AI Readiness Assessment is evidence-based, every domain produces auditable evidence against defined criteria, not a subjective score:
- Platform & Technical Readiness: Reviewing considerations that influence stability and supportability when AI-enabled behaviour is introduced.
- Workflow Risk & Operational Impact: Examining how automation is currently used across the organisation and where AI-assisted execution would have the greatest impact.
- Execution Visibility & Data Readiness: Assessing whether sufficient execution data and visibility exist to support monitoring, assurance, and post-incident analysis.
- Governance, accountability & operating model: Assessing whether the governance structures, ownership models and accountability frameworks around your automation environment are ready for the decisions AI is already making.
Why Ignite Technology
Choosing who runs this assessment matters as much as running it at all. Ignite Technology operates as Broadcom’s highest-tier Expert Advantage partner, and our governance practice has spent over twenty years working inside compliance-sensitive enterprises where a wrong assessment has regulatory consequences, not just a delayed project.
This is about responsibility, that’s the standard the Readiness Assessment is built to.
Ignite Technology’s AI Expertise includes
Blog: Five Reasons Automation is the Missing Piece of your Agentic AI Puzzle
Automation used to be judged on one thing: efficiency, fewer manual tasks, tighter workflows, lower costs. That’s no longer the whole story.rnrnEnterprise Management Associates (EMA) made that shift explicit by naming Broadcom Automation a u0022Value Leaderu0022 in its 2025 EMA Radar for Workload Automation and Orchestration.
Blog: Ranking the Best AI Consultants in 2026
If you’ve looked into AI consulting firms in the last six months, you’ve probably hit the same wall we did researching this. Every firm says almost exactly the same thing, everyone does “agentic AI transformation”, everyone talks about scale, speed, and understanding your industry.
So this isn’t another ranking. the firms we’ve reviewed are grouped by what they’re actually built to do.
Blog: Exclusive Interview: The Future of AI-Ready Data, Decision Intelligence, and Automation
There’s one recurring answer whenever the conversation turns to getting AI past the research stage and into measurable business value: automation.rnrnIn a recent interview, David Shannon, Head of Decisioning at SAS Northern Europe, unpacked exactly how automation drives what he terms u0022decision intelligenceu0022 — the discipline of converting insight into action.
Case Study: How a Financial Institution Gained Control through an AI Copilot Agent
Discover how Ignite Technology helped a global financial institution reduce internal consulting requests by 10% by deploying a AI Copilot Agent.rnrnBuilt securely and integrated with existing enterprise systems, the solution gave finance and PMO teams faster access to trusted answers, without compromising governance or compliance.
Contact Us Today
If you’d like to discuss your Agentic AI challenges, fill out the form below and one of the team will be in touch as soon as possible.
FAQs about our Agentic AI Readiness Assessment
A structured evaluation, across twelve domains and two tracks (Technical and Business Readiness), that produces a Not Ready, Conditional Go, or Go verdict plus a prioritised roadmap — evidence-based, not a checklist.
As a hard gate. If data governance isn’t in order, the assessment will not return a Go verdict regardless of strength elsewhere — this reflects where real agentic AI failures actually originate.
Through the Business Readiness track’s financial accountability domain, which requires a defined ownership and measurement model before deployment — not a retrospective attempt to justify spend after the fact.
A governance model where a human retains defined checkpoints over an AI agent’s decisions rather than the agent acting fully autonomously. The assessment’s workflow visibility domain checks whether those checkpoints actually exist before deployment.
Yes — the prioritised roadmap that comes out of the assessment is the starting point for the governance framework itself, not a separate document produced afterwards.
Yes — the Business Readiness track’s compliance posture domain is built around current EU AI Act requirements for high-risk AI systems, so a Go verdict reflects live regulatory obligations for autonomous agents, not a generic governance checklist.
Shadow AI is AI agent activity operating inside your organisation without IT’s knowledge, an audit trail, or a named owner — often the by-product of well-intentioned pilots. The assessment specifically surfaces where shadow AI already exists across your automation and data environment, before it becomes a compliance or incident-response problem.
No — an assessment is most valuable before agents go into production. Many clients come to us after an ungoverned pilot has already created visibility or ownership gaps; starting with an assessment avoids that.
You receive a prioritised roadmap that feeds directly into our Integration & Orchestration, Process & Workflow Redesign, and Adoption & Embedding services — or you can action the findings independently.