Professional services
Prepare a client handoff
Organize a request, surface missing context, and let the account owner approve what moves to delivery.
AI consulting for practical change
Move AI from
experiment to operation.
Choose where AI can improve the business, redesign the work around it, and give your team a process it can run.
For small-to-mid-sized professional services firms, trade and field-service businesses, and manufacturers.
Three ways to begin
What kind of help do you need?
Build your team’s capabilities, choose where to focus, or put AI into operation. Each is a valid starting point.
Explore ways to work with Flyte
A useful starting point
Set your direction
Choose a first move, examine selected work, or set a company-wide direction.
One illustrative workflow
See where AI works.
See where people decide.
In this estimating example, AI prepares a draft. An estimator checks missing information and approves the packet before the quoting team receives it.
Illustrative example
From drawing to draft estimate
to inspect the work
- 1Drawings arriveSource information
- 2AI prepares calculationsExtraction, material & labor
- 3Custom logic drafts the estimateRules, rates & assumptions
- 4Estimator verifies & approvesHuman decision
- 5Quoting team receives the packetApproved handoff
Source packetInputs visible
Drawing + project requirements
- Revision and scope
- Known dimensions
- Open questions
Drawings arrive with project requirements. Revisions, missing dimensions, and unresolved questions stay visible before calculations begin.
See a fuller illustrative workflow and its decision brief. These are synthetic examples, not client results.
Where this could apply
Start with the work your team already does.
These are illustrative applications for the three kinds of businesses Flyte serves. The right workflow and boundaries depend on your company.
Trade and field service
Turn an inquiry into a work packet
Collect site details, return gaps to sales, and give operations a record it can review before scheduling.
Manufacturing
Review a quality exception
Bring inspection notes and production records together for a quality lead to decide the next action.
Explore the illustrative examples for a fuller inquiry-to-work-order scenario, including its exception and named owner.
Evidence and method
Make the decision visible before work moves.
Flyte examines the information, handoffs, decisions, and exceptions around a workflow. AI can prepare or organize work; the responsible person verifies consequential output and handles what falls outside the agreed path.
See how we work, or inspect the synthetic audit decision brief to see how assumptions and next steps are recorded.
Add AI to the old process Old processAI addedSame constraints
The existing handoffs and decisions stay in place.
Design the work around the outcome Desired outcomeWork redesignedAI in the right roleHuman decision
AI supports the work. People remain responsible for what moves forward.
A useful next conversation
Where is work
getting held up?
Tell us where work gets stuck and who owns the decision. The initial 30-minute fit conversation helps identify a suitable next step; it is separate from any paid service.