For expertise-driven B2B companies
Put your organization’s best thinking in the hands of everyone doing the work.
Updraft AI turns your prior work, customer conversations, and team knowledge into a working system your team uses every day.
No charge. Bring one recurring workflow. Leave with a Capability Map.
Work With Steve
Technology should help people do important work, not make their work more complicated.
I have spent my career helping people understand new technology and put it to practical use. I started on a help desk in the 1990s, helping a large insurance company move from mainframe terminals to Windows desktops. Since then, I have worked through the dot-com era, robotics, mobile technology, the Internet of Things, and now AI.
The most important lesson I learned was not technical. People have important jobs to do, and technology is valuable only when it helps them do that work.
AI is the most powerful shift I have seen, but it is moving faster and is still explained largely in language written for developers. Business owners, operators, managers, and teams should not have to become AI experts to benefit from it.
My role is to translate and enable. I learn how your organization works, identify where your existing knowledge can become more useful, and build reusable systems around your people and their judgment.
For one biotech client, I turned years of marketing assets and technical images scattered across Google Drive into a visual library where the team could see the collection at a glance, open individual assets, and return directly to the source files. A simple intake process brought the images and file details into the library automatically, so no one had to enter anything by hand.
You do not get a generic AI solution looking for a problem. You get a partner who can move between technology and business, make complicated topics understandable, and help your team accomplish more of the work that matters.
The Problem
Most organizations do not lack expertise. They lack access to it.
Valuable knowledge and judgment are scattered across people, proposals, project files, customer conversations, prior decisions, and disconnected systems.
- The same questions repeatedly reach the same senior people.
- Teams know the information exists but cannot find it when it matters.
- New proposals and deliverables repeatedly start from scratch.
- Lessons from prior projects do not reliably shape the next one.
- AI interest is real, but there is no high-value place to begin.
A Capability Engine example
The Sales Proposal Engine
The Sales Proposal Engine shows how proven work, customer context, and expert judgment can shape every new proposal.
Before
Proposal quality depends heavily on who is available and what they remember.
With the Capability Engine
The team draws on prior proposals, technical expertise, customer discovery, pricing logic, and proven patterns every time.
Inputs
Proven source material
- Strong prior proposals and approved templates
- Discovery conversations, customer goals, and buying criteria
- Technical expertise, pricing logic, and delivery experience
Workflow
From discovery to draft
- Retrieve relevant prior work
- Extract priorities from customer discovery
- Match proven technical and commercial material to the opportunity
- Build from known-good structures and templates
- Generate a tailored first draft
- Apply expert judgment, review, and finalize
Learning loop
Make the next proposal stronger
- Capture edits and review decisions
- Record accepted and rejected language
- Add new technical knowledge and customer insight
- Update the reusable patterns behind the next proposal
Other possibilities: the same approach can be applied to onboarding, project delivery, customer insight, technical knowledge, and other recurring work.
The system behind the work
A Capability Engine turns expertise into a working system.
It connects prior work, customer context, team expertise, workflow, and human judgment around recurring work. Feedback and new knowledge improve what happens the next time.
01 Source expertise
Where the raw material lives
Prior projects, proposals, customer conversations, technical documentation, decisions, delivery patterns, and the people who use them.
02 Working Capability Engine
Knowledge, workflow, and judgment in one system
Curated knowledge, reusable patterns, defined workflows, targeted AI assistance, and human judgment connected to the recurring work.
03 Each use improves the next
New learning becomes part of the work
Feedback, decisions, and new knowledge strengthen the system so the next person starts with more of what the team has learned.
What it is not
It is not simply a document repository, a chatbot over disorganized files, a strategy deck, or a generic software package.
What it is
A working capability built around a recurring task and improved through use.
How It Works
A clear path from recurring problem to working system.
Start with one recurring workflow. The no-charge first step identifies the best starting point and whether a Capability Engine is worth building.
01 | No charge
Find the opportunity
Examine one recurring workflow and identify where expertise, context, or prior work is difficult to access.
Outcome: a clearly defined starting point and recommended next step.
02 | Starting at $2,500
Design the first version
Define the knowledge, workflow, decisions, integrations, guardrails, and feedback needed for a working first version.
Outcome: a practical system design and implementation plan.
03 | Starting at $5,000
Build and test
Build, connect, and test the first Capability Engine using real work.
Outcome: a usable first version that can be evaluated and improved through use.
Start here
Find the first capability worth building.
Bring one recurring workflow. We’ll examine where expertise, context, and prior work are difficult to access, then identify the most valuable place to begin.