AIBMM Ascent™
AI Maturity Is Built
One Workflow at a Time
AIBMM Ascent is not about your whole company jumping to Level 5. It is about identifying the workflows that matter most—and systematically moving each one from manual and ad-hoc to agent-powered and governed.
Workflows Are the Unit of Progress
Most businesses think about AI maturity at the company level: “We are a Level 2 company.” But that is not how it actually works. Your invoicing workflow might be at Level 1. Your sales proposals might be at Level 2. Your support triage might already be at Level 3.
The Ascent approach is to pick your most important workflows, see where each one sits today, and plan the specific steps to move it to the next level. When you do this for 3–5 workflows per quarter, the company-level maturity takes care of itself.
The key insight
Most workflows start at Level 1 or 2. The practical goal for most businesses is Level 3 or 4—where AI is doing the work and humans are managing the system.
Where most workflows start
Manual, ad-hoc, inconsistent
First standardization
Templates, human review, consistent output
Where most workflows should go
Agent-connected, automated steps, human oversight
Orchestrated operations
Multi-agent, governed, measurable SLAs
Level 5 (Physical Integrator) is aspirational for most businesses
How a Workflow Ascends
Here is what the same workflow looks like at each maturity level. The transformation is concrete—not abstract.
Customer Support Triage
Classifying, routing, and responding to incoming support requests
AI Drifter
Support staff read every ticket, decide the category, and write responses from memory or copy/paste from old tickets. AI is occasionally used to rephrase a response but not systematically.
Still Manual
· Reading and categorizing every incoming ticket
· Deciding priority and routing
15–30 minutes per ticket
Prompted Operator
Staff use prompt templates for common issue types (billing, password reset, feature questions). AI drafts the response; the agent reviews and sends. Categories and priorities are still assigned manually.
Still Manual
· Reading and categorizing each ticket
· Selecting the right prompt template
AI Is Doing
· Drafting responses using the selected template
· Adjusting tone based on customer sentiment cues
8–15 minutes per ticket
Agent Builder
An agent reads incoming tickets, classifies them, drafts responses for common issues, and routes complex ones to the right specialist. Simple tickets are resolved automatically with a human spot-check.
Still Manual
· Handling complex or escalated tickets
· Reviewing a sample of auto-resolved tickets
AI Is Doing
· Classifying ticket type and priority automatically
· Drafting responses for common issue categories
2–5 minutes for agent review on complex tickets
Agent Manager
A manager agent oversees multiple support agents, monitors SLA compliance, escalates tickets at risk of breaching SLA, and identifies patterns that indicate product or process issues.
Still Manual
· Approving policy exceptions
· Handling VIP or high-risk escalations
AI Is Doing
· Orchestrating multiple specialized support agents
· Monitoring SLA compliance in real time
Manager reviews exceptions and reports; agents handle the queue
More Workflows That Ascend
These are the kinds of workflows businesses identify in their Discovery assessment. Each has a clear path from its current level to its target.
Sales Proposal Generation
AI Drifter
Each rep writes proposals from scratch.
3–5 hours per proposal
Prompted Operator
The team uses a shared prompt template with a structured "facts block" (company name, pain points, budget).
45–90 minutes per proposal
Agent Builder
An agent pulls CRM data, pricing tables, and past-win examples automatically.
15–25 minutes per proposal
Agent Manager
Multiple agents handle different proposal types simultaneously.
5–10 minutes for rep review on standard deals
Sales reps close faster, respond to more leads, and proposals are consistent
Customer Support Triage
AI Drifter
Support staff read every ticket, decide the category, and write responses from memory or copy/paste from old tickets.
15–30 minutes per ticket
Prompted Operator
Staff use prompt templates for common issue types (billing, password reset, feature questions).
8–15 minutes per ticket
Agent Builder
An agent reads incoming tickets, classifies them, drafts responses for common issues, and routes complex ones to the right specialist.
2–5 minutes for agent review on complex tickets
Agent Manager
A manager agent oversees multiple support agents, monitors SLA compliance, escalates tickets at risk of breaching SLA, and identifies patterns that indicate product or process issues.
Manager reviews exceptions and reports; agents handle the queue
Higher CSAT, fewer escalations, support team handles 3x the volume
Invoice Processing
AI Drifter
AP staff receive invoices by email, manually enter data into the accounting system, match to POs by hand, and route for approval via email chains.
20–40 minutes per invoice
Prompted Operator
Staff use AI to extract key fields from invoice PDFs (vendor, amount, date, line items) into a structured format.
10–20 minutes per invoice
Agent Builder
An agent extracts invoice data, matches to POs, assigns GL codes based on vendor rules, and routes to the correct approver automatically.
3–5 minutes for exception review
Agent Manager
A manager agent oversees the full AP pipeline, monitors aging invoices, enforces approval SLAs, and generates cash flow forecasts.
AP team manages exceptions and approvals; agents run the pipeline
Fewer late payment penalties, faster close, AP team focused on exceptions
The Five Levels of AI Maturity
Each level describes what AI is doing and what humans are doing in your workflows. Progress from unstructured exposure to physical automation.
Choose Your Path
The framework is clear enough to self-guide. A Certified Coach accelerates the journey and helps you avoid the common pitfalls.
Self-Guided
Work through the framework at your own pace
Complete the Discovery assessment, get your workflow map, and use the Ascent portal to plan and track your workflow ascents. The methodology is documented and the tools guide you through each step.
Full access to AIBMM Ascent Portal
Workflow mapping and level assessment
Lift planning and tracking tools
Pattern library and templates
Progress tracking and Altimeter metrics
Community access via AIBMM Circles
Coach-Guided
Expert guidance from a Certified AIBMM Coach
A Certified AIBMM Coach™ reviews your Discovery results, helps you prioritize the right workflows, and guides you through each Lift. Coaches have seen dozens of businesses at every level and know exactly what gets organizations stuck.
Everything in Self-Guided, plus:
Dedicated Certified AIBMM Coach
Coach-reviewed workflow prioritization
Personalized Ascent Plan development
Regular 1:1 coaching sessions
Custom Quarterly Commitment planning
Coach-facilitated team alignment
How Progression Works
The Ascent methodology runs in 90-day cycles. Each cycle focuses on ascending a small number of workflows—not the whole company at once.
1
Discovery & Workflow Mapping
Complete the guided assessment to identify your key workflows and where each one sits on the maturity scale today. Your coach reviews the results and helps prioritize.
2
Build Your Ascent Plan
For each priority workflow, define what is manual, what the target level looks like, and what specific Lifts will get it there. The plan is concrete—not a vague roadmap.
3
Execute Your Lifts
A Lift is a single workflow improvement project. It has a clear definition, a pilot, a rollout, and graduation criteria. Lifts are tracked in the portal with RAG status.
4
Graduate & Repeat
When a workflow reaches its target level, it graduates. You pick the next workflow to ascend. Over time, your portfolio of Level 3 and 4 workflows grows—and so does your maturity.
Ready to Map Your Workflows?
Start with the Discovery assessment. Identify your key workflows, see where they sit today, and get a clear path to Level 3 or 4.