Email + 6 attachments
Northfield expansion
StatusReady for technical review
Next decision3 requirements need an engineer
Source materialPeopleSystems
Put AI to work inside your company.
We find the work that burns through expert time, build AI around it, connect it to your systems and deploy it with your team.
Choose a time for your AI audit.
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The hard work starts after the AI strategy deck. Someone has to choose the right process, build against real inputs and get the system into daily use.
Start with work your company already does.
Pick a process with real volume, real source material and a clear owner. We build against the work itself, then deploy it with the people who run it.
Turn a customer request into work your team can act on.
Bourne reads the email, documents and account history, prepares the record and routes the decisions that still need a person.
Move work across people and systems without losing the context.
Bourne follows the process, prepares each system update and brings exceptions to the person who owns the decision.
Turn the way your best people work into a system the company can use.
Bourne uses your policies, past work and source material to draft the answer, show its evidence and ask for judgment when the case falls outside the rules.
✦Bourne
3 requirements need an engineer
- Read the source material
- Checked the operating record
- Prepared the next step
Needs your decision
From the first audit to a working deployment.
- 01
Audit the work
We follow one process from request to result, including the source material, decisions, systems and handoffs.
- 02
Build on real cases
We use work your team has already completed to build the workflow and test the cases that matter.
- 03
Deploy with the owner
We put the system in front of the people who run the process and connect it to the tools they use.
- 04
Expand what works
Once the first workflow performs in production, we add volume, decisions and adjacent work.
Every company has its own version of this work.
Requests and cases arrive through email, documents and software. Experts turn them into decisions, then carry each result into action.
Industrial OEM customer workRFQs, costing, approvals, orders and aftermarket service.Explore manufacturing →
Customer operationsReview requests, research accounts, draft responses and update customer systems.
Back-office operationsRead documents, check policy, prepare entries and route exceptions.
Expert servicesResearch the case, assemble evidence, draft the work and ask for judgment when needed.
Frequently asked questions
What does Bourne implement?
Bourne builds AI agents, internal applications and automations around work your company already does. The first deployment can handle a narrow process such as reviewing incoming requests, preparing a record, drafting an answer, checking an order or moving approved data between systems.
Do we need an AI strategy before we start?
No. We can begin with a live process, its owner, the source material and the systems involved. The audit identifies where AI can do useful work, what still needs human judgment and what a first deployment should prove.
Will our team have to build or maintain the AI?
No. Bourne scopes, builds, connects and deploys the system with your team. We monitor the workflow, improve it from real use and expand it only after the first process works.
Can Bourne work with our current software?
Yes. Bourne can read from and write to the ERP, CRM, ticketing, document and industry systems you already use. Your current software remains the system of record while Bourne runs the workflow around it.
How do you handle decisions that need a person?
We define the decision owner and approval rule before deployment. Bourne prepares the evidence, recommends the next step and routes the exception to that person. It records the decision and completes the approved action.
How long does an AI implementation take?
The answer depends on the process, source material and systems involved. We start with one bounded workflow so the first version can reach real users quickly, then expand from evidence instead of a large transformation plan.
What happens in the free AI audit?
We examine one important workflow with the people who run it. You leave with a map of the work, the best starting point, the data and integrations it needs, and the result a first deployment should produce.
Bring us the work you want AI to handle.
We’ll map the process, find the best place to start and show you what a real deployment would take.