Eliminate tier-1 support bottlenecks with a conversational AI agent for balance checks, transaction history, and account management — fully self-hosted in your cloud.
Intelina Voice· Phone
Balance, transaction and card actions over the phone, with identity verified before any account data is read out.
Intelina Desk· Web chat
In-app chat answering statement and fee questions from live account APIs, with disputes raised as tickets for a human.
85%+
Support Reduction
$2M+/yr
Potential Savings
100%
24/7 Availability
Figures on this page are planning targets and typical volume distributions for the sector, not measured results from a named customer. We size them against your own numbers during the demo.
The Tier-1 Support Overload
Repetitive balance and transaction queries
24/7 support requirement across time zones
Compliance-heavy authentication flows
Agent burnout from monotonous tasks
Customer
Menu or queue
Dead end
Contact mix
Where the volume actually goes.
Before deciding what to automate, it helps to see what people are actually contacting you about — and which module is the right home for each slice.
14%Payment scheduling and confirmationsBoth modules
TodayManual, error-prone
11%Disputes and fraud reportsBoth modules
TodayShould reach a specialist fast
8%Product and rate questionsIntelina Desk
TodayAnswered inconsistently
The approach
Secure self-service that never sleeps
01
Verifies identity safely
Built-in, configurable authentication flows confirm the caller before any account data is shared.
02
Answers from live account data
Balances, transactions, and statements are retrieved in real time — accurate to the second.
03
Runs entirely in your cloud
No third-party AI vendors. Sensitive financial data never leaves your own infrastructure.
04
Flags and escalates exceptions
Disputes and fraud signals are routed to the right team with the full context attached.
What the agent handles
Balance & transaction lookups
Card activation, freeze & replacement
Payment scheduling & confirmations
Fraud reporting & dispute intake
Playbooks
What each module actually does here.
Not capabilities in the abstract — the specific flows, in order, with the primitives each one relies on.
Intelina Voice
Phone · AI voice agents + customer CRM
Authenticate before a single number is spoken
TriggerAny request that touches account data
1The caller is matched against your customer records by number
2Your verification step runs as a tool call before the agent reads anything back
3Failed verification routes to a human rather than degrading to partial answers
read_customerhttp_webhook → verificationescalate
Card actions completed on the call
TriggerCaller wants a card frozen, replaced or activated
1The agent confirms which card from the customer record
2It calls your card platform and reads the result back
3The action is deduplicated by conversation, so a retry cannot issue two cards
http_webhook → card platformidempotent execution
Fraud goes straight to a specialist
TriggerFraud, dispute or unauthorised-charge language
1Escalation fires immediately instead of continuing self-service
2The specialist picks up with the transcript and the account context already loaded
3The intent and the escalation are both recorded on the call log
escalatecall logs
Intelina Desk
Web chat · AI chat + ticketing tool
Statement questions from the real ledger
TriggerCustomer asks about a charge in the app
1A registered endpoint returns the transaction history for the signed-in user
2The whitelist keeps everything except the fields you named out of the model
3The answer cites the actual line item rather than describing fees generically
data endpointsfield whitelist
Rates and terms, grounded in your documents
TriggerProduct, rate or eligibility question
1The knowledge base is searched over the terms and product sheets you uploaded
2Answers stay inside what those documents say
3Anything unanswerable is logged as a knowledge gap for your team to close
knowledge baseknowledge gaps
Sensitive actions wait for a supervisor
TriggerA request the AI could action but shouldn't unilaterally
1The action enters the approval queue instead of executing
2A supervisor approves or denies with the full conversation in view
3Both the request and the decision land in the audit log
approval queueaudit log
Integrations
What it plugs into.
Every connection is something you register in the dashboard — no bespoke integration work on our side.
Core banking / ledger
Registered data endpoint over HTTPS with a short-lived signed token
Card management platform
HTTP webhook tool with idempotency keys
Identity verification
HTTP webhook tool called before any data is read out
Fraud and dispute case system
Escalation plus webhook to open the case
Mobile and web app
Widget script tag reading your existing session
Guardrails
What it refuses to do.
The limits that matter in this sector, enforced by configuration rather than by prompt wording.
Verification before disclosure
Account data is only read back after your own verification step returns success as a tool call.
No payment data stored
Card and payment values are fetched live and never persisted; audit entries record the call, not the payload.
Actions run exactly once
Payments, freezes and disputes are deduplicated per conversation, so a retry replays the original result.
Approvals on the sharp edges
Any action you classify as sensitive routes through a supervisor before it executes.
Rollout
How this actually goes live.
Read-only first, writes behind approvals, then widened once the record justifies it. No big-bang cutover.
01Days 1–3
Wire identity and verification
Register the verification endpoint and connect customer identity — imported records for voice, your session endpoint for chat.
02Week 1
Read-only first
Go live answering balance, transaction and statement questions. No mutating actions are enabled yet.
03Week 2
Add the safe writes
Enable card freeze and payment scheduling behind the approval queue, with idempotency keys on every submit.
04Weeks 3–4
Security review
Walk your reviewer through tenant isolation, token lifetimes, field whitelists and the audit trail before widening access.
05Ongoing
Relax deliberately
Use the approval history to decide which actions have earned automatic execution, and which stay gated.
Measurement
What to hold it accountable to.
Each target maps to something the product already reports, so nobody has to build a spreadsheet to find out whether it worked.
Metrics, current typical state, target, and where each is reported
Metric
Typically today
Target
Reported by
Tier-1 volume deflected
Agents handle most of it
85%+ of routine inquiries
Ticket volume by category, plus call log escalation rate
Average handling time
Minutes, including hold
Seconds for lookups
Call duration and ticket time-to-resolution
Data exposure surface
Agents see whole records
Only whitelisted fields reach the model
Per-endpoint field configuration and audit log
Duplicate or double-executed actions
A real risk on retries
Zero
Idempotency replays recorded on the action
Projected outcomes
What success looks like
85%+
Tier-1 volume deflected
Routine inquiries handled end to end by the agent.
$2M+/yr
Projected savings
From reduced agent load and faster handling.
100%
Self-hosted & compliant
Data stays in your cloud, under your controls.
Customers get instant, secure answers — and your agents stop drowning in repetitive balance checks.
Financial Services questions
What buyers in this sector ask first.
Yes. Every service is containerised and the voice module deliberately runs its own speech model rather than renting one, so self-hosting stays a real option rather than a slide.
See this running on your own financial services data.
Bring one line or one queue and your real numbers. We will size the plan against them on the call rather than quoting the targets on this page back at you.