AI Custom

Tailored AI workflows for document-heavy, multi-system business processes.

For clients who want practical automation around real business processes: repetitive work, document-heavy flows, slow coordination, unclear handovers, or high manual workload. Custom AI workflows, assistants, and automation layers across existing systems.

Document processingInternal knowledge assistantsWorkflow orchestrationDecision supportCustomer service automationCompliance checksData extraction from PDFs & imagesTicket triageCRM & email automationHuman-in-the-loop approvals
Why it matters

Not experiments for the sake of AI — every project starts from operational pain with a clear manual cost and a measurable outcome.

Key capabilities

What AI Custom covers

Document processingInternal knowledge assistantsWorkflow orchestrationDecision supportCustomer service automationCompliance checksData extraction from PDFs & imagesTicket triageCRM & email automationHuman-in-the-loop approvals
How we work

What this direction delivers

Across your systems

AI agents and workflows connected to enterprise systems, multilingual by default.

Governed by design

Access rules, data perimeters, and human approval defined before the build.

Delivery model

Phased pilot

01

Define one workflow

The process with the clearest manual cost and measurable outcome.

02

Identify data sources

Only the sources the pilot actually needs.

03

Agree governance

Permissions, data perimeter, audit, and approval logic up front.

04

Build & test

A working end-to-end flow, run by the real users on real cases.

05

Measure & scale

Quantify time saved and quality; scale only after value is proven.

Where it works

Use cases that make the difference

Document-heavy operations

Extraction, validation, and routing with human approval.

Internal assistants

Knowledge assistants grounded in approved company sources.

Best fit
Regulated enterprisesOperations teamsDocument-heavy processes
Outcome

Automate complex business processes — without forcing the client to replace existing systems.

Common questions

FAQ

What makes a good first AI pilot?

One high-friction workflow with clear manual cost: document-heavy intake, repetitive coordination, or a multi-system lookup that eats hours. Measurable before/after, limited data sources, real users.

How long does a pilot take?

Weeks, not quarters — define the workflow, agree governance, build the end-to-end flow, test with real users, measure. Scale only after value is proven.

Who owns the data and models?

You do. We design within your data perimeter, your access rules, and where required your own LLM provider keys — nothing trains on your data without agreement.

Goes well with

Related products

See all in Custom Engineering

Start with a scoped pilot

One workflow, one team, measurable outcomes — scale follows proven value.