What is an AI execution system?

It is internal infrastructure that enables your team to identify, build, and scale AI automations continuously. Not a one-time project, but permanent operational capability.

How can AI help my SMB reduce costs?

AI automates repetitive tasks, reduces human errors, optimizes processes, and allows your team to focus on higher-value activities. Companies typically see 20-40% cost reductions in automated processes.

Do I need a technical team to implement AI?

No. Our system is designed so that non-technical people can operate and scale AI automations. We train your existing team.

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Model 02 — Turnkey

They deliver it done

No internal tech team needed. Incremental activation against the Pareto the platform prioritizes.

Designed for mid-size companies without internal technical capacity.

For you if...

You don't have an internal tech team or your capacity is limited
Your systems and tech are basic or lack robust APIs
You prefer finished deliverables over building internal capability
You want to activate value in weeks, not quarters

How it works

Discovery

We map your organization, processes, and opportunities in the first 4 weeks.

Platform prioritizes units

Continuous Pareto identifies which workflows + apps to activate first.

diezX delivers each unit

diezX sponsor + certified dev pool. You validate. We deliver.

Monitoring + Maturity Index

Continuous maintenance. Monthly impact reporting.

Unit catalog

From simplest to deepest. Incremental activation — start with the highest-Pareto units.

Unit	Size	When it applies
Standard workflow	S	Single-system automation, linear logic (e.g., automated notification, field sync)
Complex workflow	M	Multi-system, integrations, conditional logic (e.g., lead routing between HubSpot + Slack + DB)
Standard app	L	Custom interface + bounded business logic (e.g., supplier portal, internal calculator)
Complex app	XL	Internal product with multiple roles, states, reporting (e.g., cross-team operations dashboard)

Standard workflow

Single-system automation, linear logic (e.g., automated notification, field sync)

Complex workflow

Multi-system, integrations, conditional logic (e.g., lead routing between HubSpot + Slack + DB)

Standard app

Custom interface + bounded business logic (e.g., supplier portal, internal calculator)

Complex app

Internal product with multiple roles, states, reporting (e.g., cross-team operations dashboard)

Each unit includes development + monthly maintenance proportional to complexity.

How it scales

Start with 1-2 highest-Pareto units identified in discovery
Incremental activation month by month based on results and adoption capacity
Maintenance accumulates with each unit active in production

Does this model fit you?

Take the qualifier and we'll validate fit + next steps on a call.

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