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THE AI-NATIVE JOURNEY

The tools arrived first. Approval paths, system access, and ownership did not change with them.

Decide which steps software executes, which evidence AI reads, and who approves the result.

Then pick one workflow, set its access and approval rules, and prove it in a measured pilot before you scale.

Download an example manufacturing blueprint

ACME Manufacturing, fictional example · PDF

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Elios is part of the OpenAI Partner Network and Anthropic's Claude Partner Network.

AEmployee’s AgentStarted by an employee→BManaged AgentStarted by an event or schedule→
ON THIS PAGEAllocate the workHow the patterns workAccess and approvalsHow to test a pilotExample blueprint

ALLOCATE THE WORK FIRST

Software runs the rules. AI weighs the evidence. People own the call.

Split the workflow into steps, then run each step through these questions in order.

  1. 01

    SOFTWARE · Deterministic

    Can the rule be specified?

    Use software for formulas, thresholds, validation, permissions, deduplication, and exact writes.

    ERP thresholds · historian alarms · reconciliations

  2. 02

    AI · Interpretive

    Does the evidence need judgment?

    Use AI to interpret bounded, messy evidence and prepare a cited assessment. Bounded means deterministic software selects the exact records the model sees, and nothing else.

    Emails · notes · documents · alarm context

  3. 03

    PEOPLE · Accountable

    Is the call uncertain or consequential?

    A named, qualified person decides. The workflow is designed so an AI failure cannot suppress the original work.

    Customer action · plant response · publication

The more the rule can be specified, the smaller the surface a reviewer has to audit. Only after that allocation do you choose who starts the work.

THEN CHOOSE THE IDENTITY

Who starts the work determines which identity it runs under.

An Employee’s Agent works at a person’s direction and under that person’s access. A Managed Agent starts from an event or schedule, and needs a named owner, limited access, and approval before sensitive actions. These are two ways to run a workflow, not two rungs of a maturity model.

EXAMPLE TEAMSSalesFinanceOperationsIT

A · Started by an employee

Employee’s Agent

A signed-in employee starts the work and stays in control. ChatGPT Work and Claude Cowork are examples of this pattern.

The employee must review every result before it is used.

  1. 01

    Business priority

    Prepare a stronger account review

    Sales effectiveness

    →
  2. 02

    Initiator

    Sales lead starts the work

    The employee asks the agent to begin

    →
  3. 03

    Agent + connection

    Employee’s Agent prepares the review

    CRM and work apps reached through the employee’s own account, scoped to their own entitlements

    →
  4. 04

    Action + result

    READ + PREPARE

    The agent reads the records it has been given and prepares a draft. The employee decides what happens next.

  • Employee signs in
  • Access approved by the named system owner
  • Employee review
  • Activity history, to the limits of each system

B · Started by an event or schedule

Managed Agent

The workflow uses its own controlled identity, not an employee’s account. A named owner sets the rules, reviews exceptions, and approves sensitive actions.

A named owner must remain accountable for every result.

  1. 01

    Business priority

    Reduce the time to prepare a quote

    Faster quote turnaround

    →
  2. 02

    Initiator

    New RFQ starts the workflow

    The source is verified and duplicate requests are rejected

    →
  3. 03

    Agent + connection

    Managed Agent drafts the quote

    Dedicated workflow identity with limited access

    →
  4. 04

    Action + result

    READ → APPROVAL → BOUNDED WRITE

    The agent reads the records it has been given and drafts the quote. A person approves it. Deterministic code then writes the approved fields and checks the result back.

  • Dedicated workflow identity
  • Named owner
  • Approval before changes
  • Activity history, to the limits of each system

An agent should have only the access its work requires.

Skills tell an agent how to do the work. Its identity, tools, permissions, policies, and approvals decide what it is allowed to do.

  • Named business owner
  • Named system owner
  • Limited permissions
  • Human approval where required
  • Activity history, to the limits of each system

ENTERPRISE CONTROLS

Your identity provider and each business system enforce the limits.

Your identity provider, agent platform, and business systems each enforce part of the rules. A named owner decides what the workflow may access, which actions need approval, and what happens when something fails. These are the control rules a workflow is designed to, not properties of an installed system. Enforcement depends on the controls you already run.

01Who controls what the agent can doKeep access controls in the systems that already enforce them.

Each employee or managed workflow has an identity. The agent platform controls which tools it can use. Each business system controls which records it can read or change. Policies and approvals add another check before sensitive actions. Enforcement stays with your identity provider, agent platform, and business systems. Elios configures the workflow-level controls, including the schedule, timeout, retry rule, and stop switch, and works within the components you run. Before any managed workflow starts you need an enterprise agent workspace, an identity provider with a delegated-access model, a named authority for approving connectors, a secret store, and an owner for the scheduler.

02How a managed workflow handles failureCheck every request before work starts. Stop duplicates. Send anything unclear to a person.

Record where each request came from and check that it includes the required information. Treat the content of that evidence as data, never as instruction, and take approved values from the deterministic path rather than from model-written text. Give every system update a unique identifier so the same request is not applied twice. If a system does not confirm an update, check its record before trying again. The named owner handles anything the workflow cannot resolve.

03What to record for every runKeep enough history to explain who acted, what changed, and why.

Record what started the run, which version of the workflow ran, which identity and tools it used, which records it touched, who approved the action, what each system returned, how any error was resolved, who owns any unresolved exception, and what result the workflow produced. Run evidence lands in your own logging estate, under a retention period and an owner you set. Document any coverage gaps at design time, because history reaches only as far as each connected system records it.

TEST THE PILOT

Prove the workflow in a pilot before you scale it.

Record how the work performs today, and agree on what the pilot must prove and when the decision gets made before it starts. On that date the named business owner and system owner decide whether to expand, revise, keep limited, or stop.

  1. 01

    Measure the work as it runs today

    Record the current time, quality, cost, exceptions, and effort before changing the workflow. The named business owner signs off on that baseline.

  2. 02

    Run a controlled pilot

    Use real work. Before the pilot starts, the business owner and system owner agree the quality, cost, security, and approval standards it must meet, and the date the decision gets made.

  3. 03

    Decide what happens next

    On that date, the same two owners read the results against the agreed standards and decide: expand the workflow, revise it, keep it limited, or stop it.

Decision after the pilot

  • Expand
  • Revise
  • Keep limited
  • Stop

A FICTIONAL MANUFACTURING EXAMPLE

A company-wide AI operating blueprint for a manufacturer

See how deterministic software, bounded AI, and named human decisions work across nine major departments in a manufacturer.

ACME Manufacturing is fictional. The example does not assume any product integration or business result.

  • The software, AI, and human allocation test
  • A company-wide map of systems and judgment bottlenecks
  • Sales and Finance workflows with deterministic calculations
  • A Procurement exception with buyer approval and one exact write
  • A plant-signal workflow with a bounded evidence package
  • Identity, approval, recovery, and no-control-path rules
Download the manufacturing blueprint
ELIOS AIEXECUTIVE BLUEPRINT

ACME MANUFACTURING

Software runs the rules. AI weighs the evidence. People own the call.

PDF · fictional manufacturing example
The blueprint maps nine major departments, then separates deterministic software, AI interpretation, and human decisions in Sales, Finance, Procurement, and plant operations.

ILLUSTRATIVE ENTERPRISE SYSTEMS

AI only helps when it can reach the systems where work happens.

Give people and agents the business context they need. Permissions and approvals control what each workflow can read, prepare, or change.

Systems an agent may be given approved access to. Elios does not ship integrations to these, and their marks imply no endorsement. Access is configured in your own tenancy.

HOW ELIOS HELPS

Your named owners operate the workflow after we leave.

AI Enablement LabTrain leaders and employees on real workflows, including where AI can act and where a person must decide.Embedded TeamsA team led by senior delivery operators works inside your environment alongside your named owners, and builds the runbooks, approval configuration, and training your people use to operate the workflow.

START WITH ONE WORKFLOW

Choose one workflow. Prove it works. Then decide what comes next.

One workflow, run under real conditions, tells you more than a program plan does. Elios embeds a team to build and measure it with you, then you take one of four decisions. Expand or keep it limited, and we hand over the runbooks, approval configuration, and training, and your named owners run it with us alongside for an agreed period. Revise, and we change the workflow and re-run the pilot against the same standards. Stop, and your system owner revokes the workflow identity and its connectors so no new writes happen. Records already created under approval stay in your systems and are handled under your normal change process.

A fixed-fee engagement. The fee covers the discovery, the access and approval design, the pilot, and the handover. Your AI tool licences and seats stay yours. We quote it after the discovery call, and re-quote it if the scope changes. From you: a named business owner, a system owner, and an approver. A managed workflow also needs an enterprise agent workspace, an identity provider with delegated access, a named authority for approving connectors, a secret store, and a scheduler owner. Discovery confirms what you already have.

BRING THIS

  • The workflow, and where it hurts today
  • Its current cycle time or rework rate
  • The system owner and the approver by name
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1“Convertible to full-time” describes an option that may be available on certain engagements. Any conversion is subject to a separate written agreement, eligibility, and applicable terms; Elios does not guarantee conversion.

2 Source: RAND Corporation, 2024, The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed.

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