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Enterprise Twin builds a living, queryable model of your systems, processes, people, applications, and assets — so every AI decision is made with your eyes open.
An enterprise digital twin is a living, queryable model of an organization — its systems, processes, people, applications, and assets — built from automated discovery and process mining and kept continuously current. It's used to plan modernization, rank automation opportunities, and deploy AI safely.
What you run
Automated discovery of your application estate, code, and infrastructure — including the parts nobody remembers building.
Architecture mapping·Dependency graphs·Technical-debt scoring·Cloud & AI readiness·Migration cost estimates
What actually happens
Process and task mining reconstruct how work really flows — not how the Visio diagram from 2019 says it flows.
Process mining from event logs·Task & workflow mining·Bottleneck detection·Automation-fit scoring·Impact simulation
Who holds it together
Where knowledge concentrates, who touches which systems, and where a single resignation becomes an outage.
Role & access mapping·Knowledge-concentration analysis·Key-person risk scoring·Handoff & approval maps·Feeds the Company Brain
Every score ships with its factors.
single points of failurepeople who solely own critical assets
per team, process, and systemfrom connected evidence
dependency depthconnectednessreadiness
Illustrative. The twin re-projects from live snapshots as systems change, so scores reflect the organization as it is now.
Ask it anything:
“What breaks if we retire the AS/400?”
“Which processes depend on people retiring this year?”
“Where does an invoice actually go?”
The Twin answers from evidence, not tribal memory.
A fixed-scope engagement, delivered by Sphere or a certified partner. The sequence below is the actual delivery plan.
Connect & discover
Read-only connectors deployed. System discovery and event-log collection begin. No production risk, no agents installed.
Model
Dependency graphs assemble. Process mining reconstructs your top 5 workflows as they actually run.
Score
Technical debt, AI-readiness, automation-fit, and key-person risk scored across the estate — with evidence behind every number.
Roadmap
Executive readout: your Twin, live, plus a ranked automation roadmap with projected impact per opportunity.
The populated Twin and roadmap are yours. Most customers activate the platform on top of it — but the Scan stands alone as the clearest picture of your enterprise you've ever had.
to delivery
fixed price
"where do we even start?" permanently
“We'd budgeted nine months just to figure out what we had. The Twin gave us the map in six weeks — and the map told us which three automations paid for everything else.”
A redacted, real 20-page Scan: the dependency maps, the tech-debt scores, the ranked roadmap, the executive summary. If this is what your enterprise would look like mapped, you'll know in five minutes of reading.
Process mining reconstructs workflows from event logs — one dimension. The Twin combines process mining with system discovery, dependency mapping, and organizational modeling in a single graph, so you see how processes, systems, and people actually interact. That intersection is where automation succeeds or fails.
Read-only. The Scan uses read-only connectors, log exports, and repository analysis. Nothing is installed in the request path, and nothing writes to your systems during discovery.
It's yours. Most customers keep it live on the SphereIQ platform, where it stays current automatically and becomes the targeting system for Company Brain and AI Factory deployments. Either way, you keep the model and the roadmap.
Six weeks. Fixed scope. The clearest picture of your business anyone in it has ever had.