AI in operations
Less time spent reading, sorting and retyping, with every decision still made and recorded by a person. AI prepares intake, review, case handling and document processing across a function; your people approve, change or return its work.
- Typical length
- Seven to eleven weeks to the first workflow in production, discovery included
- Models
- OpenAI, Cohere, Google Gemini, Mistral AI or the models your organization approves
- Investment basis
- Fixed price discovery, build confirmed after it
01 In practice
Where people decide
Example. The actual design is set during discovery.
Intake
An application, claim or request arrives through your existing channel.
AI reads and sorts
Fields are extracted and documents classified, with the source shown.
AI drafts
A summary and a suggested next step are prepared for the reviewer.
A person decides
The reviewer approves, changes or returns the work. The AI does not decide.
Recorded
The AI output, the decision and the reviewer are kept in the audit trail.
02 Who it is for
- Teams handling a high volume of applications, claims, requests or documents
- Review work where people spend most of their time reading and sorting before they decide
- Organizations that need AI to run inside their own tenant and region
- Functions that must show who decided what, and on what evidence
03 What you get
- 01
Workflow map
Each step of the current process, its volume and where AI assistance fits.
- 02
Decision gate design
Where a person approves, overrides or returns the work, and what they see when they do.
- 03
Working workflow
Intake, extraction, review queue and drafting, built on the platform and model you approve.
- 04
Evaluation set
Test cases from your own material, with results recorded before release.
- 05
Audit trail
A record of every AI output and every human decision against it.
- 06
Operating guide
How your team uses it, how changes are requested and how the model is monitored.
04 Investment
Indicative investment
Canadian dollars, before tax. Confirmed after discovery, based on complexity, integration requirements, delivery scope and your environment.
Scope assumptions. The first workflow covers one intake channel, one review queue, extraction and drafting for one document type, an evaluation set and the release. A function wide program is priced from what the first workflow shows.
05 How we deliver
One consistent approach, set for this work
Discover
Process walk through, sample documents, data residency and privacy constraints, and the first workflow chosen.
Build
The first workflow built in a mirror environment and tested against your evaluation set with your reviewers.
Release
Evaluation results reviewed, release record approved, your team trained.
Run
A handover to your team, a fixed transition period of close support, or a monthly service for monitoring, model changes and further workflows.
06 Controls and measures
Your information
Processed in the tenant and region you choose, under your privacy rules, with access limited to named roles.
Model selection
Built on the model you approve. The model can be changed under change control without rebuilding the workflow.
Deployment
In your cloud subscription, with development, test and production kept apart.
What we measure
Processing time per item, items handled per reviewer, manual handoffs and evaluation results, before and after release.
07 What we need from you
- A process owner who can decide what the AI may and may not do
- Representative sample documents, with personal information handled under your privacy rules
- A cloud subscription or tenant where the workflow will run
- Reviewers available to test against the evaluation set
08 Start
Discuss your project
Tell us what needs to change and when. If the work fits, we propose a fixed price discovery.