Hybrid Intelligence
Payments experts and AI agents, working as one—so you can deliver faster, with zero defects.
What is hybrid intelligence?
Hybrid Intelligence is the fusion of human expertise and artificial intelligence (AI). It combines the strengths of both to achieve outcomes that neither could accomplish alone.
Our Payments AI Agents combine expert-trained models with human-in-the-loop expertise and governance. They understand schemes and standards, and work with expert teams to generate programme artefacts, validate platform changes, and guide onboarding—with citations, auditability, and bank-grade controls.
Closing the Expertise Gap
Payments project teams are under pressure: complex schemes, tight regulatory timelines, fewer experts. Our expert agents fill these gaps.
Right first time
Payments-tuned, detailed project artefacts, scheme, and system insights with cited sources.
Speed with substance
Compress months into weeks without sacrificing precision and certainty.
Priceless expert input
Spot the hidden risks and support your teams with the expertise to make the critical decisions.
Who it’s for
Meet the Agents
Use across payments technology teams
The promise of AI is lower costs and higher productivity per person. Add payments experts in the loop and models trained on their knowledge, and it really can happen.
Product & Delivery
Remove ambiguity early; standardise interpretation; compress timelines.
Technology
Implementation-ready guidance you can map to configs, mappings, and tests.
Compliance/Risk
Transparent citations, audit logs, and full human expert review.
The Payments Modernization Flywheel
Start with faster, safer, cheaper – end with scalability, automation, transformation.
Scale
delivery with the Payments Expert Analyst Agent programme artefacts and test packs on tap.
Clarify
everything with the Scheme Expert Agent. No ambiguity, fully cited.
Implement
and Upgrade with the Payments Platform Agent. Close the vendor – client gaps; accelerate and improve analysis, development, and QA.
Onboard
to new rails and schemes fast with the Scheme Onboarding Agent. Diagnose, gap, and plan.
Try it now with AnalystAccelerator
Experience the accuracy, speed, and explainability—no install required.
Ask your payments queries (read-only Q&A) with inline citations
Generate lite, watermarked artefact snippets (BRD/test cases)
See the “Why this answer?” panel and source viewer
Applied AI, not general
Trained only on relevant industry and project-specific data, AnalystAccelerator is optimized for accuracy, continually iterating for the most precise and empirically validated outputs.
Research
Are banks ready for AI?
In a survey of over 200 payments industry leaders, we learned how banks see Applied AI as a tool to help them to keep up with the pace of change.
Our research reveals how banks are already using AI in payments modernization and their plans for the future.
54%
of banks plan to leverage AI for payments modernization
62%
are actively or aggressively exploring AI technology
49:51
banks favor a balanced approach to AI with 49% human and 51% AI involvement
Security, Data & Operations—by design
Identity & access
Microsoft SSO, RBAC, immutable audit logs.
Isolation
Client-segregated tenancy; encryption in transit and at rest.
Inference-only
No training on your data; strict minimisation (no PII (personally identifiable information) required).
Governance
Expert-in-the-loop review before deliverables; full traceability with citations.
Three ways to run an agent
Secure Web Portal (SSO)
Named users, RBAC, full audit.
API Integration
Call the agents from your existing AI interface/orchestration.
Client -Hosted Deployment
Run agents inside your cloud tenancy under your identity, network, and logging policies.
Case study
Fast-Tracking Project Delivery for a Tier 1 Bank
AnalystAccelerator is already enabling banks to deliver the future of payments today.
Working with a tier-one bank, AnalystAccelerator.ai delivered a large and critical project in a single day, something that traditionally would have taken three weeks of detailed analysis.
47
detailed and accurate business requirements generated automatically within 45 minutes.
2 hours
of human review before the documents were approved internally.
1 day
to publish. Once approved, the final documentation was distributed in the correct format.
Where to start
- Exploration: CBPR+ Preview → see citations, try artefact snippets.
- Focused Pilot: Pick a live workstream (e.g., CBPR+ change) → measure cycle time, defects, and rework reduction.
- Scale Up: Add Analyst + Platform + Onboarding agents; integrate with IDEs and workflows; extend to more rails/schemes.