APPLIED AI SOLUTIONS · CONVERSATIONAL BANKING AI
Conversational AI for banking services
We build conversational banking AI grounded in your policies and systems, with permission controls and escalation to your team.
- Every answer grounded in your approved policies, with the source attached
- Gated on anything that moves money, changes entitlements, or gives advice
- A clean handoff to a human the moment a request becomes consequential
High volume still needs a safe containment model.
We build assistants that contain volume safely, not ones that improvise. These are the patterns that tell us a channel is ready for that.
Balances, transactions, card controls, and straightforward servicing can be resolved without a human. The question is never whether the volume exists. It is whether the assistant can be trusted with it.
Buried contact centre
High-volume, low-complexity queries that do not need a human, but every one currently gets one.
Bots that frustrate
Existing bots deflect calls only to frustrate customers into calling anyway, dragging down CSAT.
A compliance veto
Compliance will not sign off on a black-box assistant that cannot show why it said what it said.
Spikes you cannot staff
Wait times spike at month-end and after any incident, and headcount cannot flex fast enough.
If the grounding is not there, the assistant says it does not know and routes the customer onward. It does not guess.
The difference between an assistant and a risk.
A general model will answer anything, confidently, including things that are not true for your bank. Our assistants run on retrieval-augmented generation: every answer is grounded in your approved policy documents, product terms, and knowledge base, with the source attached.
For anything transactional, the assistant uses tool calling against your core systems through governed APIs, so it reads a real balance rather than inventing one. Grounding is what separates a helpful assistant from a liability.
Guardrails belong inside every response path.
In a regulated deployment they are the architecture. Five of them run in every build.
Scope control
The assistant answers only within an approved domain; out-of-scope, advice-seeking, or complaint-flagged requests are escalated, never improvised.
PII and data residency
Personal and account data stays inside your security perimeter, with residency honoured and sensitive fields masked from the model where they are not needed.
Groundedness checks
Responses are validated against retrieved sources before they reach the customer, so an unsupported claim is caught, not sent.
Full auditability
Every conversation, source, and action is logged, so compliance can reconstruct exactly what happened and why.
Action limits
The assistant informs freely but is gated on anything that moves money, changes entitlements, or gives regulated advice.
The central design choice, and in banking it sits conservatively.
High-confidence, low-stakes contacts are contained automatically. Anything consequential, or anything the model is unsure of, reaches a human with full context, so the customer never repeats themselves.
Agent corrections feed back into the knowledge base and evaluation set, so the assistant improves within its guardrails rather than drifting.
From a grounded build to audit-ready reporting.
Grounded assistant build
RAG over your approved content plus governed tool calling into core systems.
Guardrail and escalation design
Scope, PII, action limits, and the human handoff path, defined with your compliance and risk teams.
Channel integration
Web, app, and voice-adjacent channels in your existing servicing stack.
Evaluation harness
Groundedness and safety tested continuously on our LLMOps foundation.
Audit and reporting
Conversation logs and metrics aligned to your governance requirements.
Chosen for production control and auditability.
Guardrails and auditability are governed under Responsible AI & Governance, and evaluation runs on LLMOps.
Containment counted honestly. A frustrated escalation is not a containment.
- Containment and deflection
- Resolution rate and CSAT
- Groundedness, trending unsupported answers to zero
One of ten Applied AI Solutions.
Enterprise Knowledge Assistant
The same RAG foundation, answering from your own knowledge with citations.
Fraud Detection
Often paired, so suspected fraud is caught and routed to a human fast.
Responsible AI & Governance
The guardrails, autonomy lines, and audit the assistant is built within.
What risk and compliance ask us first.
Grounding plus guardrails. Every answer is checked against approved sources before it is sent, out-of-scope requests are escalated, and anything regulated is gated behind a human. Unsupported claims are blocked, not returned.
No. Data is handled inside your perimeter under your residency rules, and your content is never used to train third-party models.
On any consequential request: advice, disputes, hardship, complaints, suspected fraud, and whenever the assistant confidence or grounding is insufficient. The agent inherits the full conversation, so nothing is repeated.
Let us map which contacts are safe to automate and where the human line belongs.
Grounded in your policies, gated on anything consequential, and auditable end to end.