Hire full time.
A senior AI leader costs well into six figures and takes months to find. Most can set strategy or write production code. Few do both.
Fractional AI leadership and engineering
Senior AI leadership, without the full-time hire.
Dialed Intelligence places a fractional AI lead inside businesses doing $2M to $25M a year. We set the strategy, build the systems, and train your team to run them. Every quarter starts with a written plan of what we will deliver.
- A written plan for every quarter
- Working systems in the first 90 days
- You own everything we build
AI STRATEGYOPERATIONS AUTOMATIONUNIFIED DATAAI AGENTSDEMAND FORECASTINGPRICINGTEAM TRAININGAI POLICY
The problem
You need someone to own AI. You probably do not need them full time.
Hire a consultancy.
You get a thorough assessment and a roadmap. Then your team has to build it on top of their day jobs.
Buy more software.
Each tool solves one slice. Nobody connects them to how your business runs.
Bring on a fractional AI lead.
We join your team for a defined term, own the roadmap, build the systems, and hand them to your people. You get senior judgment and hands-on engineering at a cost that fits a business your size.
What the role covers
What we deliverOne role covers strategy, engineering, and your team.
[01]
Strategy.
We pick the few AI projects worth doing and rank them by return. We advise on tools, vendors, data, and risk, and we report to leadership.
[02]
Engineering.
We build and ship the systems. Operations automation, unified data, AI agents, forecasting, and pricing. Production code, tested and documented.
[03]
Your team.
We train the people who will run the systems, write the playbooks, and set the rules for how your company uses AI.
The Quarter Plan
Every quarter starts with a written plan.
Before the engagement begins, we agree on a Quarter Plan. It names what we will deliver, how we will measure it, and what we need from your team. We review progress against it with you every month.
Regional distributor
Quarter Plan
ExampleQuarter one
| Month | Deliverables |
|---|---|
| [01] | Operations and data review. First automation live in order entry. Company AI policy approved. |
| [02] | Sales and inventory data unified in one place. Weekly leadership report running. |
| [03] | Reorder forecasting in production. Team trained on both systems. Next quarter planned. |
Scorecard
- Order entry time per order
- Forecast accuracy on top products
- Team adoption of both systems
What we need from you
- An executive sponsor
- One point person in operations
- Access to the ERP and sales data
ReviewScorecard reviewed with leadership every month
How it works
How it works in fullFrom first call to handover
- [01]
Discovery call
45 minutes, free
We learn how the business runs and where AI could pay off. You leave with at least one useful observation.
- [02]
Discovery project
One to two weeks, fixed fee
We review your operations, data, and systems, size the opportunities, and draft your first Quarter Plan.
- [03]
First quarter
Three months, billed monthly
We work to the plan and review the scorecard with you each month.
- [04]
Second term
Up to three months, optional
We scale what worked and prepare your team to run it without us.
- [05]
Handover
Yours to run
Your team runs the systems with full documentation and training. Light support stays available if you want it.
Results
All write-upsWork we have delivered.
[01]
PE-backed skilled-nursing operator
The problem. Compliance gaps in MDS and PDPM documentation kept surfacing after submission, when they were expensive to fix.
What we built. A documentation system that reads each record and flags the gaps before anything is filed.
The result. Reviewers catch problems while they are still cheap to correct.
Read the write-up, PE-backed skilled-nursing operator[02]
Public-sector data engagement
The problem. Divisions held data that could never be reconciled across the organization.
What we built. A unified data layer that makes every division answerable from one place.
The result. Leadership works from one set of numbers that every division agrees on.
Read the write-up, Public-sector data engagement[03]
Research consultancy
The problem. Lead intelligence sat scattered across many sources and got sorted by hand.
What we built. A multi-agent system that pulls those sources together and classifies leads automatically.
The result. Analysts spend their hours on judgment calls.
Read the write-up, Research consultancyOwnershipYou own everything
You own everything
we build.
Code, data, documentation, and accounts sit in your name from the first day. Nothing we build needs our permission to keep running. When the engagement ends, the systems stay.
- Source code in your repository, under your accounts
- Documentation written for the people who will run it
- Training for your team before we step back
[ Founder and AI lead ]
Who you get
A senior lead, in the seat.
Tyler Dial
Founder and AI lead
Tyler leads every engagement. The person on your first call writes your Quarter Plan and builds the systems in it.
Background
- [01]Econometrics and NBER research
- [02]Investment banking
- [03]Management consulting
- [04]Production AI engineering
Questions
All questionsWhat owners ask first
[01]Do you bill by the hour?
No. You pay a monthly fee for the role, and the Quarter Plan defines what we deliver. We do not track or sell hours.
[02]How long do engagements last?
Three months to start, with an option to extend. Most clients reach handover in three to six months.
[03]What happens when it ends?
Your team runs the systems. You keep all code, data, and documentation. Light support stays available if you want it.
[ The first step ]
Tell us where AI should be paying off in your business.
In 45 minutes we will tell you where we see the opportunity and whether we are the right fit.