AI consulting firm for working businesses: a plan you can act on, then the build
Hashlogics is an AI consulting firm for working businesses: an engineer reads your real systems and data, the fixed-fee Blueprint names what to build first and what to leave alone, and the same senior team builds it and keeps it running.
- 4.8 on Clutch across 22 reviews
- PremiumAudit.io: audit cycle cut 75%, calculation errors cut 95%
- In production for SmartREI, Tankaware, ZyloBase, KiwiWrite
The expensive AI mistake is rarely a bad model. It is six months spent building something the business never needed. That is what the Blueprint exists to catch, before you spend it.
The failure is usually upstream of the model
RAND's 2024 study of failed AI projects found technical shortfalls were rarely the leading cause. Most teams had solved a problem the business did not have, or one the data could not support.
So the Blueprint starts with your workflow and your data, not with a model choice. By the end you have a scoped plan, or a clear reason not to build.
Most plans land in one of three places. Custom software, when the workflow is yours and no product fits it. AI automation, when people are re-typing, sorting or chasing work a system could do, which is what our business process automation and AI agents pages cover. Or integration, when the tools are fine and the gaps between them are not. We do this across the industries we serve, from HVAC and legal to logistics and property, each with its own hub.
- 01What the system must get right, and what it may get wrong.
- 02Whether your data can support it, honestly assessed.
- 03The failure that would cost you most, and the checkpoint that catches it.
- 04What it takes to keep running after launch.
What we bring
40+
published case studies of systems we built
1
outcome: a plan, or an honest no
4
questions the Blueprint has to answer before we scope anything
How the Blueprint runs
- 01
Walk the workflow
We follow the work as it happens today, with the people who do it. Most of what matters is visible here.
- 02
Test the data
We check whether the data can support the decision you want automated. This is where most ideas fail, and it is better to fail here.
- 03
Name the failure
What happens when the system is wrong? That answer decides whether a human checkpoint is required and where it goes.
- 04
Scope or decline
You get a plan with a fixed scope, or a written explanation of why we would not build it.
- ObserveThe workflow as it runs.
- AssessCan the data carry it?
- ModelWhat breaks, and how badly.
- ScopeA plan, or a no.
The honest no is the outcome nobody sells, and the one that saves the most money.
Bring us the workflow you're unsure about
Scoping calls are free. The Blueprint is fixed-fee and credited in full against the build; if the plan isn't one you'd act on, you don't pay for it.
Systems that started this way
“They will treat your vision like their own and build it that way.”
Ron Klabunde · Founder, SmartREI ↗
A workshop against a Blueprint
Output
A discovery workshop
A slide deck and enthusiasm.
A Blueprint
A scoped plan, or a written no.
Data
A discovery workshop
Discussed.
A Blueprint
Tested against the actual decision.
Failure
A discovery workshop
Rarely raised.
A Blueprint
Named, with the checkpoint that catches it.
Incentive
A discovery workshop
Ends in a proposal.
A Blueprint
Can end in advice not to build.
Common questions
01What does an AI consultant actually do for a small or mid-size business?+
An AI consultant should tell you which of your workflows AI can carry, whether your data supports it, and what to build first. At Hashlogics that work is the fixed-fee Blueprint: an engineer walks the workflow, tests the data, names the failure that would cost most, and writes a scoped plan or a reasoned no.
02How is an AI consulting firm different from an AI automation agency?+
An AI consulting firm decides what should be built; an AI automation agency builds what it is asked to. The useful version does both with one team, so the people who wrote the plan are the people accountable for it working. That is how the Blueprint and the build connect here.
03What does AI consulting cost?+
There's no honest range before an engineer reads your systems. The scoping call is free. The Blueprint is fixed-fee and credited in full against the build, and if the plan isn't one you'd act on, you don't pay for it.
04Who keeps the system running after the consulting ends?+
The same senior team that scoped and built it. After launch a named engineer runs it under an agreed service level, or trains your team and hands it over with the documentation. Most AI projects stall at exactly this hand-off.
05What if the answer is that we should not build it?+
Then we write that down and explain why. It has happened, and it is the most valuable outcome we sell. A vendor whose Blueprint always concludes in a build is running a sales process.
06Who from your side actually does this?+
Senior engineers who have shipped production AI, not a strategy team who will hand off. The person assessing your data is the person who would build against it.
07How is this different from an AI readiness assessment?+
A readiness assessment scores your organisation. A Blueprint scopes one problem. If you want the score, our AI readiness tool is free and takes four minutes.
08Do we own what comes out of it?+
Yes. The plan, the data assessment and any prototype code are yours whether or not you build with us. If you go on to build, the first 2 months of support and maintenance are free. After that a named engineer stays on it under an SLA, or hands it over to your team with training.
Related
- Best AI consulting firms →How we compare against advisory firms, and where we disclose the fit.
- What runs after the demo →Taking a prototype into production.
- AI readiness score →Four minutes, no email required.
- What to ask an AI vendor →The questions that surface a thin build before you sign.
- Why do AI projects fail →Why so many AI projects never reach production.
- What happens after the AI pilot →The hand-off where most projects stall.
- Industries we work in →Each industry hub, with the systems it runs.
