$75K+ new contract sales in 90 days
Diamond Alarm
Security & Alarm Systems
Within 90 days of implementing our recommendations, Diamond Alarm generated over $75,000 in new contract sales from a single automated campaign.
Connie Libernini, Owner
Fractional AI leadership for regulated and high-trust organizations
Get AI into production, with the evidence to prove it.
A senior owner accountable for the whole path: the right use cases, deployed inside your own cloud, with every high-risk action permissioned, approved, and auditable.
If AI is not the answer, we say so. Sometimes plain automation is.
- 25+ yrs enterprise IT
- Regulated data platforms at scale
- Founder-led
The problem
AI is on your plate. The right person to own it isn't.
The board wants an AI strategy. Competitors are moving.
- Shadow tools nobody governs.
- A pilot that stalled before production.
- Audit exposure you cannot prove or explain.
Nobody is asking the other question either: what the team should stop doing by hand before anything new is added to the plate.
You do not need another vendor selling you software.
You need a senior, accountable owner who has done this at scale: to decide what is worth doing, what is safe, and then deploy it inside your own environment with the evidence to back it.
Built for regulated and high-trust organizations, mid-market and up.
Governed One owner
Strategy Agents Data Compliance Tools The offer
You are never buying more than the next step.
The engagement starts small and grows from there.
The starting ranges are shown up front, so you can size the decision before you take a call.
Assess, build, embed
Step zero
90 minutes. Three answers. $1,250.
A working session with the principal, scoped to the three questions that decide whether an AI investment is worth making.
You leave with a written answer to each, not a proposal.
100% of the briefing fee credits toward the Audit within 60 days.
- 01
Assess
A senior read on where AI creates real leverage for your business, what's deployable now, and what governance gaps to close first.
You leave with a prioritized roadmap.
$7,500 or $12,000 one-time, by scope
In under 3 weeks you know what is safe to build.
- 02
Build
We deploy the specialized agents your assessment identified, governed and instrumented from day one, built to the Command Center pattern.
$25K to $75K project
The base system stands up within days of the assessment. In about two months you have the full governed deployment in production, with audit-ready evidence.
- 03
Embed
Ongoing fractional leadership: I own your AI and technology direction, and keep the system running and expanding.
$8K to $22K per month
One concrete example
What "owned and governed" looks like in practice.
Take member and client care.
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Connect to the systems you already run, with each agent scoped to only the access its job requires.
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Set the rules for the moments that need a person: a missed follow-up, an approaching renewal, a drop in engagement.
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The system surfaces those moments as a prioritized list and drafts the outreach in your voice.
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A person reviews and approves before anything reaches a client.
Human approval -
Every flag, draft, and approval is logged as it happens, so the record exists before anyone asks for it.
Same pattern, different job.
For audit and compliance the system captures evidence as the work happens, and reconciles records that drift apart.
You prove what occurred without a scramble before every review.
Proof
Systems that earn more than they cost to run.
Named client work, confirmed on the record.
Earlier work, held to the same standard of care. The AI practice is newer than these client relationships.
Two are website builds judged against a standard somebody else set, and one is a marketing system measured through to sales. Each client approved their statement for publication.
Technology Alliance Solutions
Government & Enterprise IT
IntellaGrow built us a comprehensive 40+ page website that met all the strict standards required for our government contracts. Their attention to detail and technical expertise is unmatched.
Chris Johnson, Principal
Adelphi Biosciences
Pharmaceutical Regulatory Consulting
In pharmaceutical regulatory consulting, credibility isn't optional, it's everything. The website Mark created earned it immediately. The whole experience reflects the same precision clients expect from the work itself.
Peter S. Parsonson, Founder
Reference patterns.
These describe method rather than a named engagement: the decision each system improves, the architecture behind it, and the tradeoffs that made it work. That is the part that transfers.
Where to start
Three ways in, depending on who you are.
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Owners and executives
You want to know whether an AI investment is worth making at all.
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Compliance and security leads
You need to know where the data lives and what gets logged before anything clears review.
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Board-facing leaders
You owe your board a position on AI and need something defensible to take upward.
Measured evidence
We don't just advise. We ship the systems.
PresidioFlow is our flagship build: it repairs malformed records in regulated data pipelines and cryptographically proves it did, producing auditor-ready, offline-verifiable evidence inside your own cloud.
- 48% of malformed records auto-resolved Measured in testing, not a production track record.
- 100% runs in your own cloud account
- Offline verifiable audit evidence
Methodology: the figures above were measured across test runs on representative data. They are a measured result from testing, not a production guarantee, and every engagement is confirmed against your own data first.
Validated in testing, with enterprise adoption underway.
- 0 copies of your data leave your cloud
- 100% of agent actions logged as they happen
- 1 human approval before a risky action runs
Not every problem needs AI.
A meaningful share of the work we scope ends up as straightforward workflow automation or systems integration, with no model involved.
We deploy AI where it earns its place, and say so plainly when it does not.
Risk reversal
The downside is covered before you start.
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You own the deployed system
The system we build runs in your own cloud account, AWS, Azure, or GCP.
Your data stays in your environment, and the audit trails and evidence it captures are yours.
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A human approves what matters
Every agent gets only the access its job requires, and the actions that carry risk pass a human approval gate before they run.
Nothing high-risk happens unattended.
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Audit-ready evidence, built in
Evidence is captured as the system runs, not reconstructed after the fact, so you can prove what happened and why when an auditor asks.
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It stays yours if the retainer ends
The system is designed to be run by your team or with ongoing senior ownership.
Ending the retainer does not switch it off or take it away.
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The Audit is guaranteed
You leave with a written, prioritized roadmap and a risk register you own.
If you do not, the audit is free.
The founder
You're working with a 25-year enterprise technologist.
I'm Mark Holland. I've spent more than two decades inside Fortune 500 IT, automating operations and building systems where mistakes are expensive.
Regulated data platforms at enterprise scale, large-scale integration, and compliance and audit-automation systems.
IntellaGrow is where I bring that judgment to organizations that need senior technology leadership without a full-time hire.
25+ years in Fortune 500 IT
- Telecom CRM and merger integration Systems that had to survive being merged
- Regulated data platforms at enterprise scale Where being wrong is expensive
- Cloud migrations on Azure and AWS Moving production without stopping it
- AI compliance and audit-automation systems The work today
Every one of these shipped into an environment where being wrong was expensive. AI is the current era of that work, not a departure from it.
Questions before you book
Five things buyers ask first.
- Am I hiring a person or buying a product?
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Read the answer Show less
Both, in that order. You get a senior owner accountable for your AI direction, and a configured, governed stack deployed into your environment. Not a multi-tenant product you log into, and not a slide-deck reference architecture. We stand up the governance layer, permissioning, approval gates, audit logging, and compliance instrumentation, together with the specific agents your assessment prioritizes.
- What do we walk away owning?
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Read the answer Show less
The deployed system. It runs in your own cloud account, your data stays in your environment, and the audit trails and evidence it captures are yours. From the assessment, you also own the prioritized roadmap and the risk register.
- Does the system keep running if we stop the retainer?
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Read the answer Show less
Yes. It stays in your own cloud account and keeps running. It is designed to be run by your team or with ongoing senior ownership, so ending the retainer does not switch it off or take it away.
- How does this hold up in a regulated environment?
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Read the answer Show less
It runs inside your own cloud, so your data stays in your environment. Access is scoped per agent through permissioning, the actions that carry risk pass a human approval gate, and we build the evidence capture and encryption into the deployment, so the audit-ready trail exists before anyone asks for it.
- Do we have to decide the whole program up front?
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Read the answer Show less
No. The engagement starts with the Audit and grows from there. The roadmap prioritizes exactly what a build would deploy first, so nothing gets re-scoped if you go forward.
If AI is on your plate and you need someone senior to own it, let's talk.
A twenty minute intro call, no pitch, just a clear read on where you stand and what's worth doing next.
Just have a quick question? Call, text, chat, or send a note.
If AI is not the right tool for your problem, you will hear that from us.