AI Integration & Automation
AI Integration & Automation
We put AI inside the processes you already run, with evaluation and human checkpoints around it.
AI integration turns a defined business process into a controlled software workflow. Cinderpath connects source material, permissions, tools and review steps so measured automation can move from a useful test into normal operation.
SUB SERVICES
Work inside this line
AI Integration & Automation contains 3 sub services: Assistants and agents, Process automation and Evaluation and guardrails. Deliverables: Document retrieval under Assistants and agents; Evaluation set under Evaluation and guardrails.
AI assistants and agents
Retrieval over your own documents, tool access scoped by role, a human in the loop on anything customer facing.
Process automation
Hand the repetitive parts of a workflow to software, with an audit trail and an escalation path.
Evaluation and guardrails
An evaluation set, cost and latency limits, and logging, so model behaviour is measured rather than assumed.
HOW WE WORK
A bounded path into production
Above: what you hold after the stage. Below: what you supply.
Stage 1, Frame the process: you supply workflow, owner and example decisions; you hold process map with a named owner. You supply the current workflow, its owner and examples of the decisions or answers it produces. Stage 2, Inspect the sources: you supply documents, access rules, known conflicts; you hold source register and permissions. You provide representative documents, access rules and known cases where the source material conflicts. Stage 3, Set the checks: you supply review points and stop conditions; you hold evaluation set and review rules. Together we define an evaluation set, human review points and the conditions that stop an automated action. Stage 4, Build one increment: you supply system access and test users; you hold one working increment. We connect one bounded path while your team supplies access to the systems and people needed to test it. Stage 5, Hand over the controls: you supply a named owner to accept it; you hold operating notes and runbook. We document operation, measurement and escalation, then your named owner accepts the working increment.
01
Frame the process
You supply the current workflow, its owner and examples of the decisions or answers it produces.
You supply: Workflow, owner and example decisions
You hold: Process map with a named owner
02
Inspect the sources
You provide representative documents, access rules and known cases where the source material conflicts.
You supply: Documents, access rules, known conflicts
You hold: Source register and permissions
03
Set the checks
Together we define an evaluation set, human review points and the conditions that stop an automated action.
You supply: Review points and stop conditions
You hold: Evaluation set and review rules
04
Build one increment
We connect one bounded path while your team supplies access to the systems and people needed to test it.
You supply: System access and test users
You hold: One working increment
05
Hand over the controls
We document operation, measurement and escalation, then your named owner accepts the working increment.
You supply: A named owner to accept it
You hold: Operating notes and runbook
WHAT YOU GET
Concrete items your team can hold
- Process and source map
- The workflow, source material, permissions and owners recorded in one technical document.
- Evaluation set
- Representative cases, expected behaviour and review criteria your team can rerun after a change.
- Working increment
- One bounded assistant or automation path connected to agreed systems and review points.
- Operating notes
- Run instructions, limits, logs, escalation points and the decisions still owned by people.
See these items in a worked example of AI integration, written as method rather than a client story.
OUR STACK
Tools we use for this work
Our stack for AI integration commonly includes model APIs, retrieval pipelines, vector or relational stores, workflow orchestration, evaluation tools and application telemetry.
We choose the smallest set needed for the process and keep model access, source permissions and operational logs explicit.
Where an existing stack is in place, we work inside it.
FAQ
AI integration questions
Start with a repeated process that has a named owner, accessible source material and a clear point where a person can review the output.
Put the technical questions in order
Bring the process, the source material and the operating constraints. We will identify the first useful increment.