The opportunity
Where the AI layer sits on what Futeric already sells
Nothing you have just seen replaces anything in the Futeric catalogue. It is an orchestration layer above what you already run — it reads and writes through adapters, it leaves the decision with a human, and it writes every step to a trail an auditor can read.
What this session demonstrated
- 1One loan moved from high risk to a booked decision across six modules without leaving the platform
- 2Every AI output traced to the document field or policy clause it came from
- 3Six actions the agent prepares but refuses to execute without a named approver
- 4Three core banking systems behind one adapter interface
- 5The entire interface in Arabic and English, right-to-left included
- 6An audit trail that separates human decisions from machine ones
What this session did not demonstrate
- Any connection to a production banking system
- Real customer data — every record here is fictional
- Certification, accreditation or regulatory approval of any kind
- Live model inference — routing here is deterministic
- Performance under production load
The exclusion list is part of the pitch. Banks buy from vendors who can tell the difference between what is built and what is not yet built.
Mapping onto the Futeric catalogue
| Futeric product | What the layer adds | Shown today | |
|---|---|---|---|
| Xapis — API Manager | Becomes the integration surface the AI layer calls through | Every core banking call in this demo routes through a gateway in that position | Open |
| 360° Digital Onboarding | Gains document classification, extraction and validation at intake | Nine-stage document pipeline with per-field confidence and human routing | Open |
| 360° Retail Mobile Banking | Gains an omnichannel conversation layer with AI drafting under human control | One inbox across six channels, bilingual, with delivery state | Open |
| Futeric Core Banking | The adapter Futeric controls end to end — fastest to certify and white-label | Sits behind the same interface as T24 and FLEXCUBE, at lower latency | Open |
| Xact — Low-code platform | Configures the approval gates and workflow rules the AI must respect | Twenty-one lifecycle stages with role-based gates at every decision point | Open |
| Islamic banking transformation | Sharia product templates carry their own compliance rules through the same lifecycle | Murabaha and Ijara products alongside conventional, with SHARIA-POL-2026 in the knowledge base | Open |
What a next step could look like
1 · Scoping
Pick one module, one bank, one core. Real integration analysis against actual API contracts rather than simulated ones.
2 · Proof on real data
Run document intelligence over an actual bank document set in an isolated environment, and measure extraction accuracy against a human baseline.
3 · Delivery decision
Decide whether this is a Futeric-branded product or a joint delivery — and which commercial model fits each case.
Demonstration environment. All data, responses and policies are fictional and were created for this session. No production banking system was contacted.