Architecture

One platform behind every answer and every decision

Not two products bolted together — one governed model of your credit union, one grounded agent, and capabilities exposed to the people who need them.

The platform

One platform. One governed model. Many capabilities.

Your systems feed one governed model of your credit union. Grounded, audited agents work on top of it. Each capability — answers, disputes, and what comes next — is a view onto the same foundation.

Hughes platform
Capabilities
Resolve
Disputes & compliance ops
Answer
Executives & analysts
Call
Member outreach & collections
+ future skills
Engine
Grounded, audited AI agents
A lead agent dispatches specialist sub-agents in parallel — plan → ground → act → audit, with a human sign-off on decisions. Hughes drafts the action; your team commits the write.
Foundation
One governed model of your credit union
Entities, metrics, tradelines & identities — reconciled, with lineage. Everything above reads and acts only through this.
Your systems · read-only
CoreLOSWarehouseBureause-OSCARIdentity
Hughes platform Your systems — read-only, your data stays in your account
Build the model once — every capability inherits its accuracy, explainability and audit.
Engine

Four choices behind the platform

The reasons one foundation can safely serve very different work — a CFO's question and a §605B dispute — from the same place.

Foundation
One governed model
Every entity, metric, tradeline and identity, mapped into one reconciled model with lineage. The agents reason over this — never raw tables.
Guardrail
Grounded action, not improvisation
The agents only act through the model and a sanctioned set of actions — read-only queries for answers, defined steps for casework. No invented joins, no invented actions.
Control
Autonomous, but supervised
The agents work a question or a dispute end to end — and stop at an explicit human sign-off wherever a decision is made.
Trust
Audited by construction
Every step — answer or decision — writes an append-only, reproducible row. Defensible long after the fact.
Data Grounding

Raw text-to-SQL vs Grounded

The same grounding that makes an answer defensible makes a dispute decision defensible — evidence is checked against your data model, never guessed.

Raw text-to-SQL
Invents joins, picks columns
84–90% accuracy on benchmarks — and the failures are silent.
No catalogue of right answers
Two analysts ask the same question, get two different numbers.
Lineage reconstructed after the fact
When a board number is questioned, you reverse-engineer the SQL three weeks later.
Grounded
Routes through your data model
98–100% accuracy. If a metric isn't defined, the agent says so — it doesn't invent one.
One definition, every time
CEO, analyst and examiner see the same number from the same definition.
Lineage is the answer
Every number ships with its definition, sources and freshness — visible inline.

See the architecture against your stack.

Request early access for a 30-minute walk-through with your core, LOS and warehouse named — or click into the live demo.

Request early access Live Demo