Not another AI pilot,
an operating change you can measure.
At your service
For 20–500 person B2B software and tech-enabled services companies. We find the operating constraint, price it, and decide where AI belongs — before anyone builds anything.
Founder-led in Vancouver · Serving organizations across North America · Confidential enterprise and public-sector experience
01The practice
One founder, one diagnostic discipline, one Find / Fix / Run system. If you’re not sure what your constraint is, book the call and we’ll work it out in twenty minutes.
Workflows, data, decisions, and revenue systems are absorbing effort that should be producing growth. We diagnose where the friction actually is, then redesign the priority workflows and apply AI only where it earns its place.
Also offering fractional Chief Product Officer leadership for teams where the product function is the constraint. Learn more →
02The problem
Teams experiment with copilots, automations, dashboards, and AI features before understanding where intelligence should enter the business. The opportunity is usually sitting inside workflows, handoffs, customer signals, revenue loops, data flows, and decision bottlenecks. We map those operating signals first — then identify where AI can create practical business value.
Operating signals we look for
Severity
Work loses momentum between teams and tools
Tasks fall between sales, delivery, and success
No single source of truth on accounts
Critical context lives only in a few heads
Risk surfaces only at renewal time
Inconsistent first 30 days for customers
Pipeline cools while threads sit unread
Hours lost to copy-paste between systems
Tasks bounce until someone forgets
Leaders guess at where work actually is
Approvals wait days, not minutes
Pilots ship without changing how work runs
03What we find
The diagnostic isn’t a framework — it’s a working read of where your business loses time, money, or judgment. This is how a finished page of it reads.
#
Came in with
Diagnostic found
What changed / result
01
30-person B2B agency
30-person B2B agency
“Felt like the team was busy but nothing shipped on time.”
Consolidated onboarding into a single workflow with AI-assisted intake.
~6 hours saved per new client
02
50-person SaaS team
50-person SaaS team
“Churn was rising and no one could explain why.”
Wired product, support, and CRM signals into a weekly account health view.
12 at-risk accounts surfaced that the team hadn't flagged
03
15-person professional services firm
15-person professional services firm
“Partners were stuck in pricing and scope decisions every week.”
Built a decision packet template plus AI-assisted proposal assembly.
Proposals cut to 90 minutes; partners out of 60% of routine pricing calls
Illustrative composites drawn from common diagnostic patterns · Named case studies to follow
04What we improve
AI becomes valuable when it improves how the business actually works — across workflows, data, customers, employees, revenue, and decisions.
Map how work moves, where it slows down, and where AI can improve speed, clarity, and handoffs.
Identify scattered information, trapped knowledge, weak documentation, and poor visibility across tools and teams.
Find weak follow-up, churn signals, expansion opportunities, onboarding gaps, and revenue leakage.
Improve intake, onboarding, communication, support, delivery, feedback, and relationship moments.
Reduce repetitive admin, unclear ownership, manual rework, context switching, and workflow frustration.
Improve how leaders see priorities, make decisions, assign ownership, and move from insight to action.
05How we work
A 7–14 day diagnostic of workflows, revenue loops, and decision-making. You get a scored map of operating friction and where AI credibly fits.
Redesign priority workflows and validate a focused implementation. Founder-led, with qualified engineering or automation specialists added when the work requires them.
Ongoing operating intelligence, measurement, and fractional transformation leadership after the redesign is in place.
Operating principles
—Founder
Aiden Wayne
Certified AI Engineer · Builder · Product Advisor
“The gap between AI potential and operating value is an architecture problem. We diagnose it before we prescribe the tool.”
Free assessment
15 questions across 6 operating domains. Get a scored map of where workflow, data, revenue, and decision friction is hiding — and where AI could actually help.
—Frequently asked
More answers on the full FAQ.
06Start
I don’t
Book a free 20-minute call. You describe what’s stuck; we name the most likely constraint and whether a diagnostic is the right next step.
Book a free 20-minute call20 minutes · no prep · founder-led
I do
Go straight to the engagement system and pick the scope that matches the problem you have already named.
See the engagement systemOr take the free Friction Score
