ORION
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DWG. ORION-GTM-001 · UNIFIED MANAGEMENT CIRCUIT · REV 2.1

ORION

Every business function gets its own AI employee — and you stay in control

Strategy, operations, finance, HR and development run on shared data in one circuit. Agents handle the routine — decisions and control stay with you.

Get a demo → Choose your role
Free · 30 minutes · no commitment
Title
Unified Management
Circuit
Contour
BSC→TOGAF→
ALM→DevOps
Layer
Graph + AI
Deploy
on-prem
Stage 1
6–8 wks
Sheet
01 / 09
ORION for your role:
Section A — definition
What it is

An enterprise operating system built from AI agents

Every business function gets its own “digital employee.” They all work on shared data in one context — a managed team, not a set of disconnected bots or manual analyst work.

SPEC-01

A team of agents

Specialized AI employees by function: strategy, development, operations, finance, HR, presales. Each owns its area.

SPEC-02

A single circuit

A shared knowledge graph and memory. One agent action triggers another — a connected system, not a “zoo” of separate per-department bots.

SPEC-03

Humans stay in charge

Agents take the routine, while goals, decisions and control stay with the manager. You run the team, you do not lose control.

“Everyone rolls out individual agents — but no one has shown a single system.”
A point agent in sales, a support bot, a procurement assistant — a path to a zoo that is then costly to assemble and impossible to control safely. ORION is one team in one circuit from the start.
Section B — rationale
Why you need it

Run the company in real time, not clean up the aftermath

NOTE — current state

Reports arrive late and filtered through line managers
People are short: rare specialists are the bottleneck
Dozens of AI pilots across departments, not one single system
No one counts the project portfolio and process losses in money

RESOLUTION — with ORION

Deviations are visible as they appear, not in a report a month later
An AI team scales the work without hiring scarce people
All agents in one core, with portfolio management and security
Losses and risks converted into money, ROI calculated before the start
Section C — end-to-end circuit
Strategy-to-Code

We link strategy to execution — machine-readable

If “a team of agents” answers “who does the work,” Strategy-to-Code answers “is the work linked to strategy.” One circuit from goal to code and back.

L1
BSC
Strategy
L2
TOGAF
Architecture
L3
ALM
Projects
L4
DevOps
Development

Bidirectional traceability: ↓ what strategy turns into — perspective → goal → KPI → business capability → value stream → epic → user story → commit → release → metric; ↑ why we do it — any commit traces back to a strategic goal.

ORION end-to-end traceability Goal, KPI, epic, commit and metric are linked into one circuit; the metric closes back onto the KPI. WHAT STRATEGY TURNS INTO BC-00Y TOGAF GOL-001 GOAL STRATEGY · BSC KPI-00A KPI STRATEGY · BSC EPC-00A EPIC PROJECTS · ALM CMT-XXX COMMIT DEVELOPMENT · DevOps PM-00A METRIC METRICS · DORA WHY WE DO IT CLOSING THE LOOP · METRIC → KPI STRATEGY-TO-METRICS · END-TO-END CIRCUIT
End-to-end traceability: every goal traces to a specific commit, and a product metric closes the loop back to the KPI — the link to strategy stays machine-readable.
Five measurable effects
hours
Faster decisionsreports from the graph instead of weeks
0 dupes
Clean portfoliofiltering out initiatives with no strategy
∑
Tech debt visiblecapability map → queue
minutes
Audit-readySOX/regulator traceability, not weeks
1 map
Fast transformationscapability↔systems↔data↔teams
Section D — role sheets
Choose your role

What ORION means for you specifically

Each sheet is a team of AI employees for a specific role: what it does, what it changes and why it stays under control.

ROLE-001

Team of AI employees
    What you get
    Section E — architecture & rollout
    How it works

    Four layers and a phased rollout

    LAYER 1

    Connectors

    MCP servers, native APIs (SAP, Git, Jira). On-prem, reusable.

    LAYER 2

    Knowledge graph

    A single ontology (BSC, ArchiMate, SAFe, DORA). Entities, edges, RAG.

    LAYER 3

    AI agents

    Domain agents with role-based access under security policies.

    LAYER 4

    Interface

    Chat, dashboards, live artifacts instead of static reports.

    Rollout — the real sequence
    0
    2 weeks

    Strategy session: priority scenario, source map, ontology.

    1
    6–8 weeks

    Pilot (narrow slice): 3–5 sources, one domain, the first agent, end-to-end goal trace.

    2
    3–6 months

    Expansion: all sources, full set of agents, integration into committees.

    3
    ongoing

    Operationalization: new domains and scenarios, replication.

    Request

    Start with one task in 6–8 weeks

    Not a “big rollout,” but one priority goal traced from strategy to code in 6–8 weeks — with a measurable result visible on your own data.

    Get a demo
    Free · 30 minutes · no commitment
    0 Strategy session — 2 weeks
    1 Pilot — 6–8 weeks
    2 Expansion — 3–6 months