Services

Start with
one workflow.

Choose a material operating problem. Prove the assumptions that matter. Build only when the evidence supports it.

Choose your starting point

AI Workflow Sprint

Choose the workflow

Make one informed production decision in ten business days.

Best for: A team with a material operating problem, an accountable owner and several possible ways to solve it.
What happens: We frame the constraint, map the work as it really happens, establish the baseline and design the most credible production path.
You leave with: Current and redesigned workflow
Value case and baseline
Production concept and validation plan
Decision: Is this the right production opportunity?
Typical shape: 10 business days
Result: A go, revise, defer or stop decision grounded in the operation—not in a generic AI demo.

Production Validation

Test what could make the investment fail before committing to a full build.

Best for: A defined opportunity with unresolved questions about data, performance, integration, security, cost or user behaviour.
What happens: We test the riskiest assumptions with real users, real workflow conditions and representative data.
You leave with: Working solution slice
Evaluation and user evidence
Refined business case and implementation plan
Decision: Does the evidence justify production?
Typical shape: Typically 3–6 weeks
Result: Evidence for a production investment—and a clear record of what still has to be true.

Production Build + Launch

Build the minimum complete system required for dependable operation.

Best for: An approved use case with a business owner, acceptance criteria and access to the people and systems the work depends on.
What happens: We redesign the workflow, integrate the system, evaluate it, launch it and stabilize performance with the operating team.
You leave with: Working production system
Integrations, controls and evaluation evidence
Runbooks, training and transition package
Decision: Is the system ready to operate and transition?
Typical shape: Milestone based
Result: A system operating inside the business, with named owners and a defined way to run and improve it.

After launch

Every mode keeps business accountability with the client. The difference is who operates the specialist technical layer.

Your team runs the system with transferred access, documentation, evaluations, monitoring and training.

Best for organizations with mature product, engineering, security and AI operations capability.

You own the business operation. Elagon runs the specialized AI layer, evaluation and technical improvement cycle.

The recommended starting mode for most organizations.

Elagon operates the technical system under a defined service agreement while your team retains business accountability.

Best when speed and reliability matter more than building an internal operating team immediately.

A strong starting point

01
The workflow matters to revenue, margin, capacity, service, decision quality or risk.
02
The work depends on information, repeated decisions, exceptions and experienced judgment.
03
A business owner can define what should improve and stay accountable for the result.
04
The organization is ready to give the team access to real users, data and operating conditions.

Start focused

The AI Workflow Sprint ends with one clear production decision—not a generic roadmap.