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AI Strategic Assessment for Government Contractors

Your pipeline is not the problem.
Your capacity is.

We find where your government contracting business is losing owner time, missing opportunities, and pricing on numbers that are not real. Then we show you which of those problems AI actually fixes, and what fixing them is worth.

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10 business days. Fixed scope. Fixed price. You keep the roadmap whether or not you build anything with us.

$120K to $235Ka year in owner time spent on work the owner should not be doing
20+opportunities a full assessment typically surfaces
10 daysfrom scoping call to a roadmap you can act on

Most GovCon firms do not have a growth problem.

Every contractor we assess tells us a version of the same story. The pipeline looks good. Opportunities are coming in. Revenue is flat or falling anyway.

The reason is almost never strategy. It is that the two or three people who can actually make a decision are buried in work that does not require them, and everything downstream waits.

You already know some version of this. What you probably do not know is what it costs.

Five patterns we find in nearly every engagement

Time

The capacity trap

Leadership is doing work leadership should not be doing. Proposal review, pricing calls, escalations, project firefighting. Not because there is no team, but because there is no system that lets anyone else decide.

What it costs

In the firms we have assessed, executive time spent on non-executive work has cost between roughly $120,000 and $235,000 a year in lost growth capacity. The pipeline can hit a record while revenue declines, because every decision still waits on the same one or two people.

Pipeline

Business development stops when the team is executing

BD runs on whatever hours are left after delivery. When the team is deployed, that is nearly none. Opportunities you personally shaped go unbid because the window closed while you were on site.

What it costs

While the team is deployed, business development can fall to a few hours a day. Opportunities the firm already shaped through an RFI get missed, and no-bids pile up from bandwidth alone rather than fit.

Margin

Margin decisions made on numbers that are not real

Rates that do not trace to a catalog. Cost factors set years ago and never revisited. And underneath all of it, a profit number that does not survive contact with the bank account.

What it costs

Profit on paper and cash in the bank can sit far apart, because loan principal, prepaid annual software and insurance, and owner expenses never appear on a P&L. Pricing tools get set aside under pressure to win revenue, and books that close weeks behind leave leadership running on instinct.

Continuity

The company knowledge lives in people, not systems

Pricing logic, client history, vendor relationships, why you structured that teaming agreement the way you did. All of it is real, and almost none of it is written down.

What it costs

In most firms the majority of critical operating knowledge is undocumented. Projects burn through their hours with no record of what the work was, and the process library a quality system assumes is often thin.

Visibility

The market cannot verify you

Your buyer researches you before anyone picks up a phone, and increasingly so does the AI assistant on their desk. Most contractor websites publish nothing a machine can actually read, which means the firm is invisible at exactly the moment it is being considered.

What it costs

In a teardown of eight competitors in one client's market, not one published its federal registration data in a form an AI assistant could read, and one of the two strongest-looking sites returned nothing at all to a crawler that does not execute JavaScript.

Every owner we have assessed already felt at least one of these. Not one of them had ever sized it.

A full assessment typically surfaces twenty or more opportunities. We prioritize them to the ten that matter and the three you should start with.

Ten business days. Three interviews. One roadmap you can act on.

This is not a survey and it is not a software demo. It is a structured diagnostic of how work actually moves through your company, run by someone who has operated a government contracting business, not only consulted for one.

01

Scoping call

We agree on what we are looking at and who we need to talk to.

02

Stakeholder interviews

Three conversations, typically the owner plus the two people closest to delivery and capture. We map how work moves, where it stops, and what the stops cost.

03

Analysis

We quantify the bottlenecks in your numbers, not industry averages, and separate where AI genuinely applies from where you have a process problem no tool will solve.

04

Findings and roadmap

An interactive dashboard with the full opportunity set, prioritized by impact and build effort, each with the tooling required, an effort estimate, and the metric you would track.

05

Working session

We walk it together and you decide what happens first.

What you leave with

  • A quantified cost of inaction, built from your numbers
  • The full opportunity set, prioritized and scored
  • A three-phase roadmap: immediate relief, foundational fixes, long-term system
  • Build effort and tooling per item, so you can execute with us, your own team, or anyone else

Everything that comes next gets decided here.

The assessment is not a document you file. It is the operating plan for the next six to twelve months of work, whoever ends up doing it. Most firms start with one or two items from the first phase and build from there. Some take the roadmap and run it themselves. That is a legitimate outcome and the roadmap is written so it is possible. You own the findings either way.

01

Assessment

Ten business days. Fixed price. Prioritized roadmap.

02

Pilot build

We build the highest-priority item and run it 30 days against real work.

03

Handoff

Documentation, training, and the keys. You own what we build.

04

Ongoing support

Optional monthly retainer for updates, new builds, and maintenance as tools change.

What that has actually looked like

  • Rebuilt a firm's entire outward-facing presence from its own contract data: a capability statement organized around the customer's problem rather than the staff who do the work, a restructured service architecture, a replaced website built to current answer-engine standards, a rebuilt company page, and rewritten executive profiles.

  • Built a 90-day follow-up sequence that runs after an RFI or sources sought response goes in, alternating email and phone, with an escalation path to the agency small business office when four touches go unanswered. Shipped to two firms.

  • Built daily opportunity triage that turns a steady stream of contract vehicle notices into a ranked short list of what is actually worth bidding.

  • Built cash visibility for leadership: a monthly cash budget and a six to twelve month forecast that expose the gap between accrual profit and cash.

We ran the follow-up cadence by hand before automating any part of it. Automating an unproven process only produces bad output faster.

This is not AI for proposal writing.

Most of what government contractors hear about AI is aimed at the proposal shop. Faster drafts, compliance matrices, boilerplate assembly. That is a real use case and it is also the narrowest one available. It treats AI as a writing tool for the part of the business that is already the most competitive and the most scrutinized.

The assessment looks at the rest of the company. Bid and no-bid triage. Capture research. Logistics. Pricing discipline. Opportunity routing. Executive time. The operational work that quietly determines whether you can bid at all.

And it is built for federal contractors specifically. Wage determinations, sources sought triage, task order volume under a BPA, past performance libraries, contract vehicle mechanics. A generalist AI consultant will give you a competent assessment of a business they do not understand.

Where this sits

If you have already done the work to define what your business is worth to a government buyer, you know your value. What most firms never get is the next step, which is someone who takes that work and executes on it. The assessment starts there. It looks at how the company actually runs, quantifies what the gaps cost, and turns the answer into systems that ship.

AI should improve the business. It should not replace the judgment that wins the work.

There is a version of this conversation that ends with "let AI run your company." That is not this one. Diligence, creativity, and critical thinking are what actually win federal work, and they are exactly what atrophies when a team outsources its thinking.

If everyone in your market uses AI the same way, everyone produces the same output, and the only remaining differentiator is price. We build systems that give leaders their time back so they can do more of the judgment work, not less of it. Where AI should not be in the loop, we say so, and that recommendation appears in the roadmap alongside everything else.

Every assessment is run personally.

Tom Prokop has spent more than twenty years walking into organizations and mapping how work actually gets done, not how it is described on paper. He started in Home Depot's internal audit leadership development program, moved into risk advisory at KPMG, and spent the years after that on enterprise transformation: process redesign at a government-sponsored enterprise managing national financial infrastructure, a multi-year PMO transformation inside one of the most complex federal science agencies in the country, and an operations redesign spanning more than sixty business units at a major federal health agency. At a federal regulatory office he identified 73 specific pain points and rebuilt operations from the ground up.

He then built his own government contracting firm, scaling it to more than 100 employees at its peak and $10 million in revenue across two consecutive Inc. 5000 years before exiting. He has either been advising the C-suite or sitting in it for essentially his entire career.

The AI Strategic Assessment is that same work, compressed. Ten business days instead of six months, with AI doing the parts that used to take a team. There is no junior team and no handoff. The person who runs your interviews is the person who writes your roadmap.

Delivered by Tom Prokop, Co-Founder and Managing Director of Kraken Federal.

Frequently asked questions

Ten business days from scoping call to working session. Interviews run 60 to 90 minutes each and can be scheduled across a single week.

Find out what your bottleneck is actually costing you.

Ten business days, a fixed price, and the plan that decides what your next six months look like. You own it whether you run it with us or on your own.

Request an AI Strategic Assessment

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