Capture every request
Email, voice, chat and forms land in one queue. Nothing waits in an inbox or a memory.
Radius Lab - Put AI to work where it matters.
01/07 · What finished looks like
Most “AI projects” stall at a demo. Ours end when the work moves on its own: captured, routed, contextual, and owned by a named person.
Give the work a path
Each request type has a route: what happens next, who sees it, and what closes it.
Keep the context attached
History, files and decisions travel with the request, so nobody re-asks what was already answered.
Return uncertainty to a person
When the system isn't sure, it stops and asks a named owner, instead of guessing quietly.
Make ownership obvious
Every workflow ends with a person who accepts it. Software assists; someone is accountable.
02/07 · Why sprints, not pilots
The problem is rarely “we need an AI agent.”
It is usually a workflow where requests pile up, context scatters, and handoffs blur. The Sprint looks at the workflow first, and only then asks whether AI belongs in it.
A typical automation pitch
The AI Opportunity Sprint
Request briefing
Starts from the tool: what the model can demo this quarter.
Starts from one real workflow your team already runs and loses time to.
Risk focus
Risk appears in the appendix, after the contract.
Access, review and failure paths are mapped before anything is built.
Repeated questions
Every stakeholder meeting re-opens scope from zero.
A written map answers the same question the same way every time.
Qualification
Every workflow is a candidate, so nothing gets finished.
Most workflows are ruled out on purpose; one is chosen and bounded.
Handover
Ends with a deck and a “let's schedule a follow-up.”
Ends with a decision your team can act on, with a named next owner.
03/07 · The AI Opportunity Sprint
Decide what is worth changing before you fund the build. Two weeks, one workflow, one written decision.
sprint/decision-brief
$map intake --source email,voice,forms
>17 request types found - 4 carry 80% of volume
$check feasibility --risk access,review,failure
>2 candidates pass - 1 ruled out (compliance)
$decide --owner named --budget bounded
>decision brief ready - handoff: ops lead
$
01
Map the workflow
We sit with the people who run it and write down what actually happens: requests, waits, workarounds and where context dies.
02
Check feasibility and risk
What data exists, who may see it, where a human must review, and what failure costs. Ruled-out ideas are ruled out in writing.
03
Decide and hand over
You leave with a bounded recommendation: build, buy, change the process, or do nothing, and the named owner of the next step.
04/07 · Selected work
Each engagement below shipped with a written boundary: what the system does, what it will do next, and what it deliberately does not promise.
Compliance / control evidence
GRC Metrix
A control-evidence workflow. Audit requests are captured, matched to controls, and routed with their evidence attached.
68%less time assembling evidence
Voice / intake assistant
Callie
A phone-intake assistant for a services firm. Callie captures the request, asks the two questions that matter, and hands a human a brief.
100%of calls captured to the queue
Multi-channel intake
Relay Intake
Email, chat and forms merged into one triage lane, with the original thread and files kept attached to every request.
4xfaster first response
Access-request audit trail
Service Ledger
An account-request ledger where every approval, exception and handoff is recorded as it happens, not reconstructed later.
0unowned requests after rollout
Not demos. Deployments.
05/07 · What it is not
The Sprint is not production software, data migration, a security certification, a legal or compliance opinion, custom model training, or a promise of savings. It is the decision that should come before all of those.
Explore the AI Opportunity Sprint→06/07 · How we work
Useful over fashionable
Choose work that improves a real process, not the work that produces the loudest demo.
Clarity over theater
Explain scope, assumptions, tradeoffs, risk, and ownership in plain language.
Evidence over hype
Separate a baseline, a hypothesis, a demonstration, and a verified result.
Responsibility by design
Define access, human review, acceptance, and the next owner before handoff.
Choose your next step
Bring one workflow. Leave with the right next step.
Book a 30-minute Workflow Review ↗Share project context →
The review may lead to a deeper discovery, a bounded pilot, a different approach, or a decision not to proceed.
07/07 · Questions before the conversation
01What if we do not know which workflow to bring?+
That is normal, and it is the first thing the Workflow Review solves. Bring the process that generates the most repeated questions or waiting; we will help you narrow it in the first thirty minutes.
02What should we bring—and what should we avoid sharing?+
Bring a description of the workflow and, ideally, the person who runs it. Do not share customer data, credentials, or anything under NDA; the review works from the shape of the process, not the records inside it.
03Is implementation guaranteed after the review?+
No, and that is deliberate. The review may lead to a deeper discovery, a bounded pilot, a different approach, or a written recommendation not to proceed. You keep the map either way.
04Who should join the Workflow Review?+
The person who owns the outcome and one person who does the work daily. Thirty minutes, no deck required, no preparation beyond knowing where the workflow hurts.