About our AI consulting firm
Meet the approach behind our AI consulting firm: assess the business case, define the scope and plan for handover. Explore how we work.
DevSolutionsAI is a United States AI consulting firm founded in 2018. Our 26 specialists cover strategy, engineering, applied AI and security. We help U.S. businesses find where artificial intelligence produces measurable savings. Then we build and hand over the systems that deliver it. Clients own all code, prompts and infrastructure we produce.
An AI consulting firm that starts with arithmetic
As an AI consulting firm, DevSolutionsAI helps United States businesses work out where artificial intelligence actually pays for itself. Then we build the systems that prove it. We are not a platform, a reseller, or an agency that discovered AI last year.
The distinguishing habit is that we measure first. Before recommending anything we count how often a workflow runs, how long it takes, and what it costs. That produces a number. If the number does not justify the build, we say so in writing. Furthermore, you keep the analysis.
That approach means we talk clients out of work regularly. On a typical discovery we recommend building around a third of the opportunities we score. However, that is the whole point of hiring an independent AI consulting firm. You are paying for judgement, and judgement that only ever says yes is not worth buying.
- Founded 2018, headquartered in Islamabad
- 26 specialists across strategy, engineering, applied AI, security and delivery
- 240+ projects delivered to clients in 38 states
- No reseller margins, no platform alliances, no commission on tools we recommend
- Fixed-scope, fixed-price engagements with the number agreed before work starts
- Full client ownership of code, prompts, infrastructure and documentation
Make AI adoption a financial decision, not an act of faith
Too many companies spend on AI because they feel they must, with no way to tell whether it worked. Our mission is to give U.S. businesses the arithmetic. What does a workflow cost today? What would automating it cost, and what would it save? As a result, the decision can be made the way any other capital decision is made.
AI as ordinary infrastructure, owned by the businesses that use it
We want AI to become as unremarkable as accounting software: useful, well understood, and owned outright. Consequently, no business should rent it from a vendor who controls the exit. That means systems a company can operate, audit and modify itself, rather than black boxes with a monthly invoice attached.
What we actually optimize for
These are operating rules rather than posters. Each one costs our AI consulting firm something, which is roughly how you can tell they are real.
Say the uncomfortable thing early
Perhaps your data is not ready. Perhaps the payback does not work, or you should buy rather than build. Either way, you hear it in week one. It costs us revenue and saves you far more.
Measure, then claim
Every result we report is instrumented. We baseline before we build and report the same measures afterwards, including the times the number disappoints.
Build for handover
Every engagement is designed so you could fire us and keep operating. Code, prompts, infrastructure and documentation are yours from the start.
Boring where it counts
Novel architecture is a liability in production. We use the least interesting technology that solves the problem reliably.
Humans on the consequential decisions
Anything clinical, financial, legal or customer-facing gets a review gate. Autonomy is earned per category, with evidence.
No margin on your tooling
We take no reseller commission and hold no platform alliances, so a recommendation costs us nothing to make honestly.
Why businesses choose DevSolutionsAI
Business case before build
Every recommendation carries an estimated cost, timeline, and annual savings figure. If the math does not work, we say so before you spend.
Vendor-neutral by design
We resell nothing and take no platform commissions. Model and infrastructure choices are made on fit, cost, and your data-residency rules.
Fixed-scope pilots
The first engagement is a defined deliverable at a defined price, not an open-ended retainer that quietly grows each quarter.
Built for handover
You own the code, the prompts, the infrastructure, and the documentation. No lock-in to a proprietary wrapper you cannot leave.
Human-in-the-loop where it counts
Anything customer-facing, clinical, financial, or legal gets a review gate, a confidence threshold, and a logged audit trail.
Security reviewed early
Data flow diagrams, retention rules, and access boundaries are agreed in week one, not retrofitted after your security team objects. We map them against the NIST AI Risk Management Framework.
Want to know whether AI is worth it for your business?
Book a free 30-minute consultation. Bring one workflow that costs you real money. Then we will give you an honest read on whether automating it makes financial sense.