Customer support
Bring together customer context, prepare responses, and route exceptions.
AI workflow design & implementation
Become AI native.One workflow at a time.
Flaneshift finds recurring work that drains time, creates errors, or slows your business down. We redesign the workflow and build AI into the steps where it can help.
Implementation handled. Results measured.
Book a 25-minute Fit CallBring one workflow worth improving.
Illustrative workflow
Incoming workCustomer request arrives
01InformationGather customer context
02AI preparationPrepare a response
03Human reviewReview and route exceptions
04CompletionDeliver the response
0501 / The thinking
Improve the
whole workflow.
An AI agent can speed up a task while delays, missing information, or repeated reviews remain elsewhere.
We review the work from beginning to end, redesign what needs to change, and add AI where it can help.
Sometimes an existing tool is enough. The work determines the solution.
Customer support / Illustrative example
One request. Two ways to handle it.
The same incoming request
“My order arrived damaged. What happens next?”
Before
Work gathered and passed on manually.
- 01Open the request
- 02Create a support ticket
- 03Find the customer record
- 04Find the order details
- 05Read earlier messages
- 06Gather policy references
- 07Summarize the issue
- 08Check the relevant policy
- 09Decide the next action
- 10Write the response
- 11Choose a reviewer
- 12Send the draft for review
- 13Review and approve
- 14Send the response and log it
Reimagined
Code, AI, and people with defined roles.
- 01CodeCollect the request and context
Create the ticket and gather customer, order, and policy records.
- 02AISummarize the issue
Prepare a case summary from the message and history.
- 03HumanChoose the resolution
Apply policy and decide how to handle exceptions.
- 04AIDraft the response
Use the case summary and the chosen resolution.
- 05HumanReview and approve
Check accuracy and authorize the response.
- 06CodeSend and record
Send the approved message and update the ticket.
Same outcome. Reviewed response sent, ticket updated.
02 / What we build
Start with the opportunity
that matters most.
Prioritized by expected value, available data, and implementation effort.
Back office
Extract document information, check completeness, and prepare records for approval.
Sales
Gather account context, prepare proposal drafts, and support follow-up.
Operations
Combine information, flag exceptions, and prepare recurring reports.
Illustrative workflow
Incoming workCustomer request arrives
01InformationGather customer context
02AI preparationPrepare a response
03Human reviewReview and route exceptions
04CompletionDeliver the response
0503 / Our approach
From opportunity
to everyday use.
Your team provides context, access, and approvals.
- 01
Find the opportunity.
Understand the work and compare potential improvements by expected return, feasibility, and effort.
A selected opportunity and a measurable starting point. - 02
Reimagine the workflow.
Define the steps, information, integrations, exceptions, and human decisions.
An agreed design, scope, schedule, and completion criteria. - 03
Build and hand over.
We implement, test, document, and hand over the workflow.
A working implementation with clear operating guidance. - 04
Measure and refine.
Compare the updated workflow with its starting point and identify what needs adjustment.
Evidence to guide refinements and the next investment.
04 / Built to stay flexible
Keep your choice
of AI models open.
Where practical, we separate the AI model from the workflow so providers can be changed without rebuilding everything. Each replacement is tested against the workflow’s requirements before live use.
Your information
Replaceable AI layerModel A
Your workflow05 / Your first AI Workflow Build
A clear first
commitment.
Start with an AI Workflow Build: a selected workflow, an agreed implementation, and a defined way to assess the result.
Scope and timing.
We agree on scope, milestones, and delivery timing around the use case, available data, integrations, and required approvals.
Final payment.
Final payment is due after the agreed implementation is complete.
Measurement.
We agree on when and how to compare results. Some workflows can be assessed immediately; others need the next comparable operating cycle.
Transform how your
business works with AI.
Bring one workflow. We’ll discuss the outcome you want and whether an AI Workflow Build is a suitable next step.
Book a 25-minute Fit Call