Copy and paste between systems
People act as the integration layer.
Custom AI implementation and IT staffing
Custom AI that works inside your company, on your systems.
We find the manual work that slows your teams down, fix the process behind it, then build AI and automation that runs in your environment. Your people approve what matters.
Built in your cloud tenant or on your own servers
People approve any action that changes a record
NDA signed before any discovery meeting
Most manual work is not a people problem. It is a handoff problem.
Teams re-key data between ERP, CRM, HR and ticketing tools. A spreadsheet holds logic nobody wrote down. An inbox acts as the work queue. AI can help, but only once the workflow has a clear trigger, a clear owner and a defined path for exceptions.
Documents read and typed by hand
Invoices, orders, forms and reports.
Decisions waiting in someone's inbox
Approvals and exceptions with no owner.
AI solutions
What we build
Workflow and Process Automation
Remove re-keying and chasing between the systems you already own.
Learn morePrivate AI in Your Network
Language models and search that run in your cloud tenant or data center, under your access rules.
Learn moreDocument and Data Automation
Read invoices, orders, forms and reports, extract the fields, and send exceptions to a person.
Learn moreAI Agents with Human Approval
Agents that prepare the work and wait for a named person to approve before anything changes.
Learn moreWhat this looks like in practice
Illustrative walkthroughs across industries. Each shows the manual steps removed, where people still approve, and an estimated range grounded in public benchmarks.
Illustrative example
Logistics: Freight invoice and proof of delivery matching
50 to 75% estimated less handling time
See the walkthrough Illustrative exampleHealthcare: Prior authorization paperwork
30 to 55% estimated less handling time
See the walkthrough Illustrative exampleAutomotive: Supplier PPAP document review
30 to 50% estimated less handling time
See the walkthroughIllustrative examples, not client results. Actual savings depend on the process and scope.
How we work
Problem first. Process next. Technology last.
1
Assess
Pick one workflow. Map the systems, people and exceptions.
2
Design
Agree on the system of record, owners, approval points and how we will measure success.
3
Build and pilot
Build in your environment and run it beside the current process.
4
Run and hand over
Roll out, train your team and document everything.
AI inside your network, not your data inside someone else's.
- We design for your cloud tenant or your own servers where the use case allows.
- An NDA is signed before any discovery meeting.
- Access, logging and data retention are discussed and agreed with your team during scoping.
IT staffing
Need people as well as a project?
Dedicated AI engineers and IT professionals who join your team, onshore in the US, nearshore from Canada or offshore from India. Hire them on their own, or keep the engineers who built your solution to run and extend it.
Onshore: United States
Full-day overlap for client-facing and regulated work.
Nearshore: Canada
Same or close time zones for US teams.
Offshore: India
Build work, support and extended coverage from Ahmedabad.
Built for operations-heavy work, in any industry
Industry not listed? The pattern is the same: repetitive handoffs, documents and decisions.
Free and paid starting points
Find the manual work worth automating
Bring one workflow. In the AI Automation Assessment we map it, score it for automation fit, data sensitivity and effort, and estimate the operating cost you could save. You get a ranked plan you can act on with us or without us.
- Workflow maps and exception owners
- Scores for fit, data sensitivity and effort
- Estimated time and operating cost saved
- A pilot plan with success measures
Notes from the work
Practical notes on process, AI and staffing, written from the same practitioner view.
Questions buyers ask
Do you build custom solutions or resell a platform?
Custom. We design around your workflow and your existing systems, and use proven models and tools where they fit.
Does our data leave our network?
Where your data runs is agreed with you during scoping. Our starting proposal is your cloud tenant or your own servers. If an external model service is a better fit, we explain the trade-off and get your approval first.
How long until something is live?
It depends on the workflow and its scale. We agree the timeline during scoping, once we have seen the process and the data.
Can you also provide engineers?
Yes. Dedicated AI engineers and IT professionals on contract, contract to hire or permanent terms: onshore in the US, nearshore from Canada, or offshore from India.
Bring the workflow that costs you the most time.
A short conversation, no sales deck. You leave with a clear next step, even if it is not with us.