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Service 01 - AI Integration

We wire AI into
real workflows.

We build the AI layer around the work itself: intake, documents, routing, approvals, and operational handoffs.

What it actually means

AI integration is a product design problem.

The model is only one piece. Useful integration also needs permissions, data boundaries, source-aware answers, review points, fallbacks, and a screen where the user can decide what to do next.

Grounded

Answers and actions should come from your documents, user data, policies, and source-of-truth systems.

Reviewable

Users need to see what the AI found, where it came from, and when a human decision is required.

Connected

AI should hand work to the right system: CRM, database, checkout, dashboard, inbox, or internal admin surface.

Three offerings

Where integration creates leverage

Offering 01

Intake and Triage Agents

AI that gathers context before a human has to step in.

We build agents for customer inquiries, internal requests, and support workflows where the first job is to understand intent, collect missing details, route correctly, and preserve context for the next person.

Intent and priority detection
Context collection
Human handoff notes
Brand and policy alignment
Offering 02

Document Intelligence

Turn files, forms, and records into structured decisions.

We design extraction, review, and summary workflows for teams that deal with resumes, academic documents, operating records, policies, or client materials. The focus is structured output users can verify.

File upload workflows
Structured extraction
Reviewable summaries
Source-aware outputs
Offering 03

Workflow Automation

Replace repeated handoffs with a clearer system.

We map the workflow, identify where AI can safely act, and keep humans in the loop where judgment matters. The result is less copy-paste work and fewer disconnected steps.

Workflow mapping
Tool and API integration
Approval checkpoints
Operational dashboards

How we work

From messy workflow to useful system

01

Discover

Map the workflow, users, data, failure modes, and decision points.

02

Design

Define model contracts, UI states, approvals, and system boundaries.

03

Build

Ship the smallest useful integration first, then expand from evidence.

04

Verify

Test output quality, edge cases, privacy expectations, and user handoffs.

05

Operate

Monitor quality and update prompts, flows, and data connections over time.

What workflow would you automate first?

Tell us what is repetitive, slow, or document-heavy. We will map the practical AI path.

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