Solutions
Every use case runs on the same governed model, so the work you do for one makes the next one faster. Start where the pressure is, and the model grows with you.
Use cases
Score every application on business value and technical fit, see cost against value, and decide what to tolerate, invest in, migrate or eliminate.
“Which applications should we retire next year, and what breaks if we do?”
Track the lifecycle of every technology the business relies on, and see which capabilities sit on components nearing end of support.
“What are we running that is out of support, and who owns the fix?”
Capability maps scored for maturity and importance, so investment goes where the gap between today and target hurts most.
“Where are we weakest in the capabilities that matter most?”
Lay out target states and the steps between them, and compare alternative scenarios side by side before you commit.
“Consolidate onto one claims platform, or two? Show me both.”
Risks and controls attached to the applications, data and processes they concern, with coverage, ownership and evidence in view.
“Which critical systems have a control gap right now?”
Architecture decisions and waivers linked to what they affect, with conditions, expiry and the approval history behind them.
“Which waivers expire this quarter, and what were the conditions?”
Which data moves between which systems, how and under which controls, with business lineage you can follow end to end.
“Where does customer data go after intake?”
Trace how value reaches customers through stages, capabilities and the systems that support them.
“Which systems does onboarding depend on, stage by stage?”
The difference
Architecture tools mostly fail for the same reasons: the data goes stale, few people use it, and nobody can say where a fact came from. Quanta is designed around those failures.
| Question | The usual approach | Quanta |
|---|---|---|
| How does it stay current? | Periodic surveys and someone’s spare time | Agents flag stale, unowned and duplicate records and draft the fix for approval |
| Where did this fact come from? | Unknown, or a note in a description field | Every fact traces to its source, down to the passage in the document |
| What can the AI change? | Edits after a user clicks accept | Nothing. It proposes, and a different person approves |
| Who governs the agents? | Settings in the vendor’s code | Rules written as governed content, changed only through approval |
| Does the answer admit gaps? | Rarely | Qubiq states what it did not see and what is unknown |
| Do diagrams agree? | Each is drawn and kept separately | All views are generated from one model |
| Can we customise safely? | Customisation complicates every upgrade | You own the top layer; updates beneath never overwrite it |
| What did it look like last March? | Find the old export | View the model as it stood on an earlier date, with every change since |
| Who can read it? | Rationed licences | Read-only access for your wider organisation, included |
Beyond architecture
Quanta’s forms, views, access rules and workflows are facets of the concepts in your model. Add a domain pack and the same governance, provenance and Qubiq assistance apply to it from day one.
Every AI system and agent you run, with its owner, purpose, data, risks, controls and approvals. Governed by the same rules Quanta applies to its own agents.
Obligations broken into requirements, mapped to the policies, controls and systems that meet them, with evidence attached.
Who holds which records, for how long, and under which rules, linked to the systems that store them.
Map critical services to the people, processes, technology and suppliers they depend on, and see the weakest links.
Who may see, propose and approve what, across roles and systems, reviewed and changed through approval.
For any control or system, show who changed what, why, who approved it and what it affected, straight from the audit trail.
Each register arrives as a governed domain pack. Your terms sit on top, and updates to the pack never overwrite your work.
Get started
Two ways in. Both end with a model you can trust and a team that knows how to keep it that way.
