Start with the workflow that already wastes your week.
If you know where the drag lives, we can scope the first practical AI automation lane quickly. If not, the launch audit clarifies the boundary, approvals, and path to production before any build spend begins.
Need
Workflow, systems, owner, KPI
Route
Email first or booking when ready
Outcome
Scoped recommendation, not hype
Intake surface
Workflow
Name the loop that wastes time
Systems
List the current operating stack
Review
State how much human approval you want
Decision
Clarify pilot next, later, or no-go
Intake signal
The first conversation should feel specific before it feels exciting.
The intake is there to make the work legible: workflow name, system boundary, approved source material, KPI target, and the level of human review the business actually wants.
Workflow name and owner
Systems and source material already in play
Quality or speed failure today
selected lanenamed KPIreview edge
Selected lane
SOP-grounded support replies
Works best when the team wants more consistent replies and a cleaner escalation path, not autonomous support theater.
First KPI: Draft turnaround time and escalation accuracy
System pattern: Inbound support request -> grounded draft and escalation decision -> help desk or inbox record
Approval boundary: Humans still approve edge cases, sensitive claims, refunds, and any answer outside approved policy.
What you should get back
Workflow brief with trigger, owner, KPI, and no-go boundary.
System map covering inbound source, record system, document sources, and approval edge.
Exception and approval policy for risky or ambiguous cases.
Thirty-day pilot plan with a go, narrow, or no-go recommendation.
Direct route
Prefer email first? Use the same lane name and keep the note anchored to draft turnaround time and escalation accuracy.
This lane fits when support questions repeat often enough to map and the business already has approved docs, SOPs, or answer patterns worth grounding on.
The current drag inside sop-grounded support replies
The live path today: Inbound support request -> grounded draft and escalation decision -> help desk or inbox record
The approved source material already in use: Approved SOPs, policy notes, help center articles, onboarding docs, and prior support exemplars.
The KPI you want to move first: Draft turnaround time and escalation accuracy
Good fit
The business already has usable SOPs or approved docs.
Questions repeat often enough to benefit from pattern recognition.
A human can review sensitive or ambiguous replies before send.
Not day one
There are no approved policies or source documents to ground on.
Support work is mostly bespoke advisory judgment.
The business expects unsupervised external replies on day one.
What happens after submit
Step 1
Review the workflow, current stack, and owner to decide whether the lane is specific enough for a useful first conversation.
Step 2
Reply with a scoped direction: launch audit next, narrow the lane first, or hold because the workflow is still too broad.
Step 3
If the lane is viable, move into the smallest engagement that can prove it without expanding scope too early.
Not a day-one fit when
You need multiple workflows bundled into the first engagement.
No one can name the owner or review risky outputs weekly.
The lane only works after a full platform rebuild or data-model redesign.
The business expects autonomous external commitments on day one.
Workflow scope intake
Open the intake for your first practical AI workflow lane.
The intake opens in a hosted form so it stays stable and easy to complete. It qualifies one bounded workflow in a fixed order: owner and lane, systems and source material, risk and review, then timing and budget.
Workflow basics
Name one repeated lane, the owner, and the workflow category before anything else.
Systems and sources
Clarify the inbound source, the system of record, and whether approved docs or SOPs already exist.
Risk and readiness
We check risk areas, weekly review capacity, readiness to move, and budget posture before recommending a next step.
