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Cnaan.devAI implementation for businesses

AI implementation.Built into the business.

AI implementation for commerce companies: process discovery, connected workflows, human review and team adoption. Built around the systems and people already doing the work.

Let’s talk about your business

Start with the process.Build around the business.

Introducing AI is an operational change. We map the work, identify a suitable first use case and decide which steps need deterministic rules, model assistance or human judgement.

We connect the workflow to relevant systems, test it against real exceptions and help the team take ownership. Tool choice follows the task and your requirements.

What we build
with you.

Focused on the parts of the business that need to work better.

A useful workflow. A clear owner.

Process discovery

Map inputs, handoffs, exceptions and the business outcome before selecting a tool.

Systems & information

Check data access, ownership and integration options across your existing tools.

Build & evaluate

Create a focused workflow and test normal cases, incomplete inputs and failures before extending it.

Adoption & operation

Define review steps, responsible people and how problems will be noticed and handled.

A working process.With people in control.

The agreed scope connects technical delivery with operational ownership. We define acceptance criteria and the handover before calling the work complete.

  • A prioritised use case and process map
  • An agreed integration and data approach
  • A tested workflow with review and exception handling
  • Documentation, team guidance and ownership

From the first conversation.
To the working day.

Find a useful starting point.

Choose a process with a clear owner, available inputs and a measurable baseline.

Build a focused pilot.

Test against agreed examples before expanding access or autonomy.

Put it into operation.

Connect the team, monitoring and escalation path to everyday work.

A few things
you might ask.

Will we need to replace our existing systems?

Not necessarily. We first check whether your tools can provide the access and integrations the process needs. Any replacement is a separate business decision.

How do you decide what to automate first?

We compare business impact, repetition, available information, error cost and team ownership. A narrow process with clear review is often a useful starting point.

Does AI need human review?

The level of review depends on the task and its consequences. Customer commitments, financial changes and uncertain outputs should have an agreed approval or escalation path.

What affects the cost of an AI implementation project?

Scope depends on the workflow, data readiness, number of system connections and testing and operational requirements. Tool subscriptions and ongoing usage are additional costs to consider. We define scope after discovery rather than applying one fixed price to every business.

Your next chapter.Built together.

Tell us what you want to change. We will work with you to find the right place to start.

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