ARCHAI WORLD | ENTERPRISE TRANSFORMATION
Move from fragmented AI experiments to an architecture-led enterprise transformation. Connect strategy, specialized AI employees, authorized business context, governance, workforce capabilities and measurable economic results.
The business problem
Four gaps recur wherever AI is adopted faster than it is governed. Each one is a leadership decision, not a technology problem.
Teams launch pilots in isolation. Without a shared view of systems, dependencies and decision rights, each experiment adds integration debt instead of enterprise capability.
An agent that can act needs a named owner, clear limits and an escalation path. When authority is implied rather than designed, risk is accepted by default.
Workshops build awareness, but capability only compounds when people apply it to real workflows, with supervision responsibilities that outlast the course.
If current effort, cost and quality are not measured first, no later result can be defended in front of a CFO or an audit committee.
One connected transformation model
Five stages, each handing a defined output to the next, so every step can be reviewed by the executives accountable for it.
ASSESS
Identify business priorities, architecture dependencies, governance gaps and value opportunities.
ARCHITECT
Define decision rights, operating boundaries, context and target-state design.
DEPLOY
Configure specialized DOTs and mission-based execution.
GOVERN
Assess permissions, controls, operational risks, traceability and human oversight.
SCALE
Build the organizational capability to supervise, improve and scale the transformation.
The Enterprise Agent Control Plane is a strategic design vision that guides this work. It is not an already delivered standalone software product.
Four commercial offers
Each offer has a defined purpose, defined deliverables and a clear boundary. They can be bought in sequence or separately.
Pilot price
US$4,997
A structured assessment that turns a broad AI ambition into a prioritized, evidence-based investment roadmap before any build begins.
Starting at
US$19,997
One scoped business mission, designed with explicit permissions and human approval, configured in approved tooling and measured against a baseline.
From
US$7,500/month
A standing executive cadence that keeps agent missions accountable: oversight of the mission portfolio, architecture and governance reviews, and measured performance.
Starting at
US$9,997
An independent examination of the agents you already run or plan to run: what they can reach, how autonomous they are, and whether the evidence exists to defend their decisions.
All pricing shown is proposed starting or pilot pricing and is subject to a statement of work.
Solutions by executive role
Select a role to see what it needs from an agentic enterprise and the offer we would start with.
Strategic execution and enterprise value
The ARCHAI ecosystem
ARCHAI WORLD is the parent frame. Each property carries a different part of the transformation, so nothing is asked to do a job it was not built for.
AI employees
Where specialized AI employees, called DOTs, are defined and configured for named responsibilities.
Mission-based execution
Where missions are designed, configured and run in a governed build environment.
Workforce capability
Where people learn to supervise, improve and scale AI-enabled work in their own roles.
Professional transformation
Where leaders apply capability to decide how they work, decide and build.
Foundation
The architecture foundation beneath all four properties: decision rights, operating boundaries and authorized context.
90-day enterprise value path
This is an illustrative engagement sequence, not a guarantee of results. Actual scope and timing are set in a statement of work.
Days 1-10
Confirm priorities, review architecture and dependencies, and establish the business-value baseline.
Days 11-30
Scope one mission, design permissions and approvals, and configure the workflow in approved tooling.
Days 31-60
Run acceptance tests, observe the mission in operation and measure it against the baseline.
Days 61-90
Examine economics and control evidence with executives, then decide whether and how to scale.
Economic model
Enter your figures to see how the economics of one workflow could look. The starting values are editable placeholders, not results from any company.
Illustrative scenario only. Time savings are not automatically cash savings. Results depend on adoption, quality, avoided costs and the use of released capacity.
Case evidence
Each engagement is documented in the same eight parts, so a sponsor, a CFO and an auditor can read the same record and reach their own conclusion.
Illustrative scenario — not a client result
This is a template of the reporting structure. It describes no real company, customer or result.
Questions executives ask
We begin with the enterprise decision and the architecture around it, not with a product. Platforms are chosen after missions, authority and controls are defined, and the work is designed around tooling your organization has approved. We do not ask you to adopt a new platform as a precondition.
It is designed to work alongside your architects. We use the architecture you already maintain as the reference for dependencies, decision rights and target state, and the deliverables are intended to feed your architecture practice rather than replace it.
No. Missions are designed to work with the systems you already operate. If an assessment reveals a dependency that blocks a mission, we report it as a finding and let you decide how to address it.
Only what is explicitly authorized. Each mission has a register of authorized sources with named owners, a defined permission set and human-approval points for consequential actions. The Governance & Evidence Lab can then test whether actual access matches what was authorized.
One scoped business mission, the architecture and permission design behind it, a configured workflow in approved tooling, an acceptance test and human-approval design, measured pilot results and a recommendation on the next stage. It delivers evidence about one mission, not an enterprise-wide rollout.
Against a baseline captured before the mission runs, using the same measures afterwards. We distinguish released capacity from realized savings: time saved becomes cash only if the freed capacity is redirected or costs are actually avoided. The calculator on this page illustrates the arithmetic only.
Offer prices cover the professional services described for each offer. Third-party software, licences, platform usage and infrastructure are separate and are identified in the statement of work. All pricing is proposed and subject to that statement of work.
Capability building is part of the model rather than an add-on. ARCHAI WORLD University develops the people who will supervise agent missions, while the Operating Office gives them an executive cadence in which to apply that capability. Training is scoped with the engagement, not sold as a substitute for it.