AI Workflow Discovery
Map the current work, exceptions, systems, human checkpoints and evidence gaps. Leave with a build recommendation, a smaller process change or a documented no-build decision.
AI workflow design, integration & operations
Turn repeat work into an AI-assisted workflow your team can run.
LDK Tech maps the work, connects the tools, adds human checkpoints and leaves an observable operating system behind.
The hard part is fitting AI into the work.
Does work move across email, documents, spreadsheets and business systems? Do exceptions wait for someone to notice? Start with one workflow whose users, data, decisions and boundaries can be mapped.
Workflow model · not a client case study
People stay responsible. Systems carry the repeat work.
- 01
Input
A request, document, event or record enters the workflow.
- 02
Context
The workflow retrieves only the context approved for that step.
- 03
AI step
AI drafts, classifies, extracts or recommends inside a defined boundary.
- 04
Human gate
A named person approves, rejects or routes an exception.
- 05
System update
The approved outcome updates the required tool.
- 06
Observable record
The workflow records what happened and exposes a recovery path.
The workflow explanation remains available without motion or media.
Discover the workflow. Build the system. Make it operable.
Automation Build & Integration
Connect the required tools. Bound the AI steps. Add approvals, logs, error handling and recovery paths. Leave with an evaluation-ready workflow and explicit operating limits.
AI Enablement & Operations
Set the evaluation, monitoring rules, playbook, owner and review cadence. Leave the team with an operating routine it can observe and improve.
Capability · source reviewed
What we can demonstrate today.
Make the current work visible.
We map the current workflow, its boundaries, exceptions, human decisions and evidence gaps before recommending automation.
Not a client resultName the decision owner.
We name what AI may do, what a person approves and where exceptions go.
Not a client resultThese are delivery-method capabilities, not client case studies or outcome claims.
Review the proofFive decisions from friction to operation.
Discover → Design → Build → Prove → Operate
Each stage ends with an explicit decision, owner and evidence. The work can stop with a smaller process change or no build.
See the delivery modelBring one workflow, not a transformation brief.
Tell us where work repeats, which tools are involved and where a person must remain accountable.