An AI consultant figures out what to build and why. An automation agency builds and ships it. Most teams need both. Do only one and you get either a roadmap no one executes or a workflow built for the wrong problem.
Neither description is wrong. They describe two different moments in the same process. Strategy comes first because building the wrong thing confidently is the most expensive mistake in AI.
A pure AI consultant audits your operations, interviews your team, scores your opportunities, and hands you a prioritized plan. Nothing gets built. A pure automation agency takes a brief and executes it fast and well. The brief might be wrong, solving a symptom instead of the underlying problem.
The right answer for most 20 to 500-person companies is a single team that handles the diagnostic and the build, so the people who identified the problem are the same people who solve it. Context doesn't get lost in a handoff. The strategy doesn't sit in a drawer.
Four dimensions that buyers actually care about.
| Dimension | AI Consultant | Automation Agency | PXT AI (both) |
|---|---|---|---|
| Primary deliverable | Assessment, roadmap, prioritized opportunity map | Deployed workflow, integration, or AI system | Both: sprint first, then build if you want |
| When to use it | You don't yet know which workflows to automate or whether AI is the right tool at all | You have a specific, scoped workflow ready to automate | You want the advice and the build from one team that owns both |
| Typical price | Fixed sprint from $3,500 | Capped builds from $10,000 | Sprint plus build, no margin markup when you continue |
| Main risk | Roadmap sits in a drawer. No one builds it | Building the wrong thing confidently | Neither. One team carries the context from strategy to production |
Three starting points. One honest answer per situation.
Start here when
You know AI should help your business but you don't know which process to automate first. Start with a 2-week AI Strategy Sprint: we audit your stack and operations, score every opportunity, and hand you a 90-day roadmap with the 2 to 3 highest-ROI moves.
Start here when
You've identified the process (document intake, support triage, lead enrichment, shift scheduling) and need a team to scope and build it. We go from kickoff to a live, instrumented workflow in 4 to 10 weeks on a capped budget.
Start here when
Most clients come in for the sprint and stay for the build. The strategy team that scored your opportunities hands the project spec directly to the build team: no retelling the context, no lost nuance, no margin markup for being two vendors.
Two real engagements (one strategy, one build) showing what each looks like in practice.
A Series A B2B payments company had board pressure to "do AI" and three stalled pilots to show for it. We ran a 2-week strategy sprint, surfaced three projects worth running, identified two pilots worth killing, and delivered a roadmap that survived the next board meeting.
A mid-market logistics SaaS had a 14-person manual review queue for incoming shipping documents and a days-long backlog. We built an LLM pipeline that handles the messy 30% the off-the-shelf OCR vendors couldn't touch. The queue cleared in week one of production.
The Sprint cost less than one month of one senior engineer's salary. It saved us at least a quarter of misdirected work and got us three projects that actually shipped.
Jahred A. - CTO, B2B FinTech · AI Strategy Sprint client
Two fixed entry points. No hidden markups when strategy flows into build.
Two weeks. Four deliverables: AI readiness assessment, opportunity map, 90-day execution roadmap, and stack audit. Fixed price. Money back if the deliverables don't meet the spec.
You've identified the workflow (support triage, document intake, lead enrichment). We scope it, cap it, and ship it. You own everything we produce and the budget cap never moves without your written sign-off.
A 30-min call will tell you. We'll say strategy sprint, go straight to build, or (honestly) skip AI for now. Whichever is true.