Where should we use AI? Where revenue is made.

If leads are lagging or marketing is hard to judge, we check what customers say, what deals show and what competitors claim before recommending what to do. You get a plan for who to pursue, what sets you apart and where AI is worth using.

Not a technologist selling tools, not an agency selling hours.

Looking for AI workflows or automations? We can build them when they have a clear job to do and reliable knowledge to work from.

Founder-led B2B companies · considered purchases · sales and marketing stretched thin

Revenue application mapIllustrative
01 What we assess Customers, deals, competitors, and the claims you make.
02 What you get What to say, what to do first, and where AI helps.
03 AI builds by choice Systems built when they have a clear job.

We know what success looks like.

400+ product launches

Samsung Microsoft Boeing Qualcomm Constellation Brands

The Method

The first project: a plan you can use.

One fixed-fee project, led at executive level. We start with an audit and a plain-language readout: what holds up, what needs work, and whether the rest of the project is worth doing. If the answer is “don't spend yet,” the project stops and only the audit stage is paid.

If we go on, we turn the evidence into a marketing and communications plan and a certified knowledge base. The files and the reasoning behind them are yours.

We build the base to be accurate, thorough, differentiated and organized so a machine can run on it and a person can decide from it. AI can help with three of those. What makes you different takes judgment about your market, and that judgment is what you're hiring.

AI will hand you an answer. We hand you a recommendation and the reasoning behind it: what to say, what to do first, and where AI is worth using.

We test all four, pass or fail:

Certification readoutIllustrative
AccuratePass
ThoroughFail
DifferentiatedFail
OrganizedFail

Step 1 · The assessment

Where you stand

We review the claims and material you already have, test them against the four gates, and give you a plain-language readout.

Asks of you: a few hours, most of it in writing.

Step 2 · Build and certify

A plan your team can run

We build the marketing and communications plan around the questions your team has to answer: who to pursue, what to say, what sets you apart, and what to do first. We work through the decisions with leadership, certify the knowledge base against the four gates, and hand over the files.

Asks of you: deal records, a handful of customer introductions, and a short conversation with whoever runs sales.

After the first project

Build what earns its place

If the first project points to a clear use, we can scope a content engine, a sales brain, or another AI system, one build at a time. Scheduled reviews can keep the knowledge current and tune systems already in use.

Asks of you: a named owner, the access the system needs, and approval before launch.

Each one answers a question your team already asks out loud.

  1. Where to start, what order to read things in, and what this isn't.
  2. What you sell, who writes the check, and why they buy now.
  3. Your category, your positioning statement, and what you're first, best or only at.
  4. Your best-fit customers, everyone in the buying group, and why they really buy.
  5. What your rivals actually claim, word for word and dated, plus your counters.
  6. Who profits from things staying as they are, and where the resistance sits.
  7. What the companies worth selling to have in common, and how to spot them.
  8. What to say to each audience, and how to answer the objections.
  9. The register of what you can say publicly, and where each claim came from.
  10. What passed certification, what's still a bet, and which claims rest on one source.
  11. The rules any AI reading these files must follow, starting with never inventing anything.
  12. Where AI helps first, ranked, with the reasoning for the order, and where it shouldn't.
  13. When each file was last verified, and how often each one needs re-checking.

The first project leaves you with a plan and its evidence. Any later build or scheduled review is scoped separately.


The Problem

What is holding marketing back?

A lead problem, an unclear story, and a marketing budget that's hard to judge can have different causes.

One part of finding them is checking the claims your marketing already makes.

From an audit readout:

Audit readoutIllustrative
"We're the only ones who do the whole job in-house." Still yours— no rival makes this claim
"Our quality is what wins us deals." No longer yours— every competitor says it too
"We're known for custom fabrication." Out of date— most of your growth is somewhere else

Claims tend to sort this way.

Some of the most useful knowledge sits in sales conversations, customer answers, and what a founder knows but has never had to explain. We draw it out, check where accounts disagree, and put sources behind the decisions that follow.


The Upside

Yes, AI can grow your business.

Especially in sales and marketing.

Always on. Engaging the channels your buyers use most often.

Personal at scale. Each prospect met as the distinct customer they believe they are.

Market response. More ideas in market, faster, and proving winners.

All of it runs on what you feed it: your customers, your rivals, and your edge.

So the bottleneck moves. Producing the work used to be the hard part. Now the hard part is knowing whether what you're feeding it is still true.


The Catch

Everyone has the same AI now.

The difference is what you give it to work with. Most of what your company knows isn't written down: why your customers really buy, what your rivals actually claim, what you're first, best or only at.

Point AI at your marketing without that knowledge and it fills the blanks with everyone's answer. You get more marketing, faster, and it sounds like everyone else's.


Keeping It Current

We believe a company has to be six things now to earn trust:

accurate, thorough, different with purpose, organized, agile and ever-present.

We certify four of them. Different with purpose is what the audit calls differentiated. Agile and ever-present are about how often you do it, and no document shows that.

Somebody has to keep deciding what's still true.

AI is accelerating everything. Markets move, competitors adjust, and learnings from the field compile. Staying relevant means marketing is now an agile practice: review the knowledge base, update it frequently and deploy. Our read: when anything can be generated, and faked, the companies worth believing say one thing everywhere and can change it everywhere at once.

Currency registerIllustrative
Last verified
Competitive claims14 months ago
Positioning statement26 months ago
Best-fit customer criteriaCurrent

Speaking, Workshops, Consulting

I teach this in rooms, and lead this inside companies.

How will your business use the AI knowledge base to generate revenue? Some companies want to learn to transform themselves. Some want our help turning pilots into practices. We'll tell you which will work best for you. We also offer:

  • Leadership and team trainings
  • Custom-built AI workflows and automations

Recent engagements

Comoto Holdings NutraSync Vess Energy Group Molecular Testing Labs
"…We worked with Mike to help kickstart our company's AI initiatives & setting up a cohesive AI strategy to better support our teams and customers. I'd say we were able to get a remarkably fast start thanks to his help…"

— David O'Toole, Chief Analytics Officer, Comoto Holdings

"Mike brings an authentic, strategic perspective that helps organizations navigate complex changes, not just in AI, but in how we fundamentally approach innovation."

— Akshay Gadre, Chief Technology Officer, Comoto Holdings

YPO Vistage International 811 Peer Leadership Council

— Chris Stovall, President & CEO, Texas811

Bring this to your group

Who Holds It

Mike Covert
Founder & CEO, Ignite Partnership

25+ years experience in marketing strategy and GTM (Samsung, Microsoft, Qualcomm), 400+ product launches, and a client base that's 90% repeat and referral since 2008. I'm a founder and chief executive myself, running my own businesses as AI-centric operations.

On one engagement I made a recommendation, then reversed it when the research came back. It saved that company money and cost my firm work the proposal had reserved. I never wrote down why. The best judgment on that job lived in one person's head, and the files we delivered did not contain it. That is the failure this work exists to fix.

4x Founder/Executive · IWAI Certified AI Consultant(LinkedIn profile)

Tell us what needs to work better.

We'll start there. The first project has a fixed fee agreed up front.

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