Roadmap to Agentic AI Success
A pragmatic framework for mid-sized enterprises
The Three-Phase Deployment Path
This is the proven pattern we see in successful deployments. Each phase builds on the previous one, letting you establish governance and prove value before scaling. Notice how Phase 1 aligns with the 90-Day Launch Plan below—most enterprises complete their foundation in 90 days, then expand from there.
Start with 1-2 simple, low-risk use cases to build confidence and governance
- •Help Desk Ticket Routing
- •Invoice Processing
- •Expense Review
- •License Monitoring
- •PTO Request
- •NDA Management
Scale to 5-10 agents across multiple departments with refined governance
- •Incident Response
- •Developer Onboarding
- •Cash Flow Forecast
- •Employee Onboarding
- •Contract Review
- •Opportunity Management
- •Churn Risk
Deploy complex, high-value agents and optimize existing deployments
- •Infrastructure Optimization
- •Multicloud Cost
- •Shadow IT Discovery
- •Financial Close
- •Revenue Recognition
- •Supply Chain Optimization
Your 90-Day Execution Plan
Now that you've decided on your approach, here's your detailed roadmap for Phase 1. This 90-day plan takes you from forming your steering committee to deploying your first production agent with 100+ users. Most successful enterprises hit these milestones in this exact sequence.
Set up governance, select use case, and prepare for pilot
Tasks
Form Steering Committee
Bring together CIO, CAIO, CISO, CFO, and Legal to oversee agent initiative
Assess Current State
Evaluate data readiness, infrastructure, skills, and governance maturity
Identify Candidate Use Cases
Brainstorm 5-10 potential use cases, prioritize by value and feasibility
Select Pilot Use Case
Choose 1-2 use cases that are simple, low-risk, and high-visibility
Draft Governance Policies
Create initial agent governance framework (risk assessment, approval, monitoring)
Define Success Criteria
Set clear KPIs for pilot (task success rate, time saved, user satisfaction)
Build Project Team
Assign AI engineer, product owner, and stakeholders to pilot
Prepare Infrastructure
Set up cloud environment, API access, and monitoring tools
Key Milestones
- •Steering committee formed and meeting weekly
- •Pilot use case selected with business case approved
- •Governance policies drafted and under review
- •Project team in place with clear roles
Three Failure Modes to Avoid
Even with a solid plan, these three mistakes can derail your agent initiative. We've seen each of these kill otherwise well-funded projects. Here's how to avoid them.
Skipping Measurement
Not tracking KPIs means you can't prove value, learn what works, or improve over time. If you don't measure, you can't manage.
How to Avoid:
- • Define success criteria before pilot
- • Track task success rate, user satisfaction, cost per task
Ignoring Governance
Deploying agents without governance leads to shadow AI, compliance risk, and difficulty scaling. You'll hit a wall at 3-4 agents without formal oversight.
How to Avoid:
- • Build governance framework from day one
- • Require approval for all agent deployments
Chasing Shiny Objects
Getting distracted by cool technology instead of focusing on business value. Agents should solve real problems, not showcase technical prowess.
How to Avoid:
- • Always start with business problem, not technology
- • Calculate ROI before building
Need hands-on help building your AI plan?
Explore Success KPIsExecute your roadmap with Olakai
Schedule a Demo