Custom AI Workflow Design
Starting at $375 one-time
End-to-end mapping of one process — intake to output — with the exception handling designed in from day one, not bolted on after it breaks.
Built by one person, not a team. Kept running by AI that doesn't clock out.
Short answers, before the detail
What counts as "one process" for this service?
Any single repeatable workflow with a clear start and end — quoting, intake, scheduling, follow-up, reporting. If it happens the same way (roughly) every time, it can be mapped and designed.
Do you build it, or just design it?
This service is the design — a full process map, AI integration plan, and implementation-ready spec. Build work is scoped separately once the design is set, either with us or a developer of your choice.
How long does the design phase take?
Typically 1–3 weeks depending on how many steps and exceptions the process has. Simple processes move faster; anything with a lot of edge cases takes longer to map correctly.
What's included
Full process mapping
Every step, every handoff, documented as it actually happens — not as it was originally supposed to work.
AI integration design
Where and how AI tools slot into the process to save real time, matched to the specific steps that are actually slow.
Exception handling defined
What happens when a customer says no, a form is incomplete, or a step gets skipped — designed in, not discovered later.
Implementation-ready specification
A document detailed enough for a developer — ours or yours — to build from without guessing.
Tool & platform recommendation
Specific to the process, not a generic automation platform pitch.
Handoff documentation
Everything the person building it needs, whether that's us or your existing IT contact.
Pricing
Who this is for
Businesses with one specific, repeatable process that eats real time — quoting, intake, scheduling, follow-up — worth solving properly instead of patching around.
This is depth on a single process, not a business-wide plan. If you need the bigger picture first, the AI Adoption Roadmap is the better starting point.
Frequently asked questions
What counts as "one process" for this service?
Any single repeatable workflow with a clear start and end — quoting, intake, scheduling, follow-up, reporting. If it happens the same way (roughly) every time, it can be mapped and designed.
Do you build it, or just design it?
This service is the design — a full process map, AI integration plan, and implementation-ready spec. Build work is scoped separately once the design is set, either with us or a developer of your choice.
How is this different from Business Process Automation services?
This is the design phase for a process that doesn't fit an off-the-shelf automation pattern — usually because it's specific to your business. Business Process Automation services are pre-scoped builds for common processes like inquiry routing or document generation.
How long does the design phase take?
Typically 1–3 weeks depending on how many steps and exceptions the process has. Simple processes move faster; anything with a lot of edge cases takes longer to map correctly.
What if the process changes after we start?
Processes evolve during mapping more often than not — that's normal. We build in a short revision window before the spec is finalized so the design reflects how the work actually happens, not how it was described on day one.
Related services
The terms on this page, explained
No jargon test. If any of this is unfamiliar, here is what it actually means — written for the person paying for the work, not the person selling it.
Agentic workflow
An automation where an AI decides which steps to take rather than following a fixed script. More capable and more useful — and correspondingly riskier, which is why anything touching money or customers needs a checkpoint.
Grounding
Tying an AI’s answer to a source you can check — retrieved documents, a database, your own website — rather than the model’s memory. It is the main practical defense against hallucination and the difference between a tool you can deploy and one you cannot.
Human-in-the-loop approval
Requiring a person to approve before an automated step goes out the door. It is the control that makes AI automation safe to deploy on anything customer-facing, and it should never be the first thing optimized away.
No-code / low-code
Tools that let you build automations by connecting blocks visually instead of writing software. Excellent for straightforward workflows; the ceiling arrives sooner than vendors suggest, and the monthly cost scales with volume.
Prompt injection
An attack where hidden instructions buried in content an AI reads — a web page, an inbound email, an uploaded document — trick it into ignoring what you actually asked for. It is a genuine risk for any automation that feeds untrusted outside content into a model.
Retrieval-Augmented Generation (RAG)
A technique where an AI system looks up relevant documents first and then writes its answer from what it retrieved, instead of relying on training memory alone. It is how AI search tools are able to cite sources, and it substantially reduces invented answers.