Inquiry and intake processing
Classify, summarize, and route incoming requests without manual reading.
Intelligent Tools
Use AI where it actually helps.
We build focused AI tools for the specific tasks where they save real time — not general-purpose experiments that need babysitting.
What this solves
Less friction. Better follow-through.
The value of AI in a business context comes from solving one well-defined problem reliably, not from adopting the latest model for its own sake.
We identify the task, evaluate whether AI is genuinely the right tool, build the application with appropriate human checkpoints, and document what the system can and cannot do.
What we can improve
Built around the way your business actually works
Document and data extraction
Pull structured information from invoices, forms, and unstructured inputs.
Draft generation
Produce first drafts of estimates, proposals, updates, and communications for human review.
Knowledge and lookup tools
Give your team fast access to the right answer from your own business documentation.
Common starting points
Practical improvements you can feel in the workday
- 01Classify and prioritize incoming service requestsPossible
- 02Extract line items from supplier invoices automaticallyPossible
- 03Draft a customer update from a job completion reportPossible
- 04Answer internal process questions from your own documentationPossible
What this looks like in practice
A real example — anonymized.
Professional Services — Real example
Before
A consulting firm was spending 2–3 hours a week manually reading and categorizing client intake submissions to route them to the right team member.
After
We built a lightweight classification tool that reads each submission, assigns a category and priority, and routes it automatically. Edge cases are flagged for human review.
Result
Intake routing time dropped from hours to minutes. The team reviews flagged cases rather than reading every submission.
Common questions
Before you commit.
Is this actually AI or just automation?
Sometimes both — and the distinction matters. We use AI when the task requires understanding language, extracting meaning, or handling variability. We use simpler automation when a rule-based approach is more reliable and easier to maintain.
Does AI make sense for a business our size?
Often yes, for a specific task. The best starting points are high-volume, time-consuming tasks that currently require reading and judgment. An assessment call will tell us quickly whether there is a strong fit.
What if the AI makes a mistake?
We design for it. Every tool we build includes human review checkpoints for consequential decisions. You control what the system acts on automatically and what it flags for approval.
Start with the bottleneck
Tell us what slows the business down.
We'll help you find the clearest path to a better system.