Deploy ANNA-powered banking SAMs created in the AIM Agent BuildLab and managed through Enterprise AIM across voice, chat, messaging, authenticated self-service, document intelligence and back-office workflows.
Discuss Banking
Signals, knowledge and decisions move through a controlled journey built around Banking operations. Each point represents a person, trusted information, a business rule or a connected system contributing current context.
AI assistance and human judgement stay connected as each interaction progresses. Intelligence supports understanding and action while explicit controls preserve confirmation, authority and escalation.
Industry workflows carry their own language, expectations and decision points. AIIT starts with those operating realities, mapping where automation can make access simpler and where specialist judgement, policy checks or sensitive handling must remain central.
For Banking, the first step is to define the journey in operational terms. AIIT identifies the questions people ask, the information required, the systems involved and the moments where confidence or authority changes. This creates a bounded design that teams can review before automation is introduced.
The experience can then combine Omnichannel voice, chat, SMS, email and WhatsApp service, Guided onboarding, KYC information and document workflows, Real-time employee assist, cognitive search and summaries. Approved knowledge provides grounding, workflow rules preserve required steps, and integration points connect the conversation to current business context. If the request becomes uncertain, sensitive or exceptional, the interaction can pass to a person with the relevant history attached.
Implementation should progress in observable stages. A focused first journey gives stakeholders space to test language, decision boundaries, handovers and operational ownership. Feedback from real use can inform measured refinement without turning the system into an uncontrolled collection of disconnected responses.
The potential value is practical: Create more accessible customer and member service; Give employees approved knowledge and guided actions; Move requests through the back office with clear ownership; Preserve human authority for regulated decisions. The exact result depends on the organisation, its source information and the process being improved, so AIIT keeps discovery centred on the work itself rather than making assumptions about outcomes.
Operating ownership continues after launch. Source information needs responsible owners, journey changes need review and service teams need a clear way to report unexpected behaviour. These routines help the capability stay connected to current business practice rather than becoming a static layer around a changing process.
AIIT brings operational and technical perspectives into the same conversation. This helps teams evaluate not only whether a journey can be automated, but whether it can be supported, governed and improved with confidence over time.
AIIT delivers an AIIT-branded solution for established banks, credit unions, fintechs and challenger banks, configured around each institution’s channels, systems, controls and service promise.
Support high-volume service, onboarding and product journeys around the clock while keeping regulated decisions and exceptions with authorised teams.
Give members prompt, personal assistance while equipping service teams with approved knowledge and guided actions.
Coordinate conversations, documents and system actions across fast-moving digital products without fragmenting the customer experience.
Create an always-available service layer for onboarding and routine support while protecting clear controls and human accountability.
AIIT connects ANNA to specialised banking SAMs created in the AIM Agent BuildLab and managed through Enterprise AIM. These Digital Employees can operate as a coordinated service and operations team across voice, chat, messaging, authenticated self-service, document intelligence and back-office workflows.
A customer enquiry can move from ANNA to secure verification, document collection, an approved system action, a banker and the back office without losing context, evidence or ownership. Enterprise AIM gives the institution visibility over each SAM’s role, permissions, performance and handover rules.
This is not automation without boundaries. Every action is designed around authentication, delegated authority, confidence, auditability and the points where an authorised person must decide.
ANNA gives customers and members one coherent assistant across voice and digital channels. She can understand intent, retrieve approved information, collect structured details and complete only the actions your institution permits.
Answer product, account and service questions through web or in-app chat using governed knowledge retrieval.
Handle inbound and outbound service, reminders and authorised collections conversations with natural interruption and warm transfer.
Send confirmations, reminders and secure links, then continue the conversation when the customer replies.
Interpret incoming messages, identify the request, draft or send approved responses and route exceptions with context.
Support suitable information and service journeys on a preferred messaging channel, subject to bank policy and authentication.
Lead retail, business and member applicants through information capture, document requests and live assistance when needed.
Collect, extract and validate information for review while keeping approval and risk decisions within authorised processes.
Support product discovery, lead qualification, appointment booking and timely handover without presenting regulated advice.
A role-aware workspace brings conversation context, approved knowledge, document tools and guided processes together so people can resolve requests without repeatedly searching or switching screens.
Surface decision trees, prompts, policy steps and authorised options during live voice and chat conversations.
Retrieve relevant passages from product guides, procedures, websites, PDFs and internal knowledge with source context.
Extract, compare and summarise submitted documents, then prepare structured information for approved systems.
Create concise call and chat notes, outcomes and follow-up tasks for staff review and system entry.
Prompt required language, procedural steps and professional standards while flagging interactions for review.
Bring together live chat, voice, audio-video, screen-sharing and contextual handover where the operating model allows.
Help staff and customers communicate across supported languages while preserving the original interaction record.
Transfer the conversation, authentication state and structured summary to the right person instead of making the customer restart.
SAM Digital Employees can continue into governed back-office processes after a call, message or document arrives, coordinating repetitive steps while maintaining an auditable path for exceptions.
Classify incoming forms, statements and evidence, extract key details and identify missing or inconsistent information.
Match approved documents and customer details with CRM, core banking, card, case or document-management records.
Send requests to the correct team based on intent, customer context, product, urgency and defined ownership rules.
Collect and organise chargeback or transaction-dispute evidence for review without deciding the final outcome.
Triage shared inboxes, assemble relevant context and prepare responses or cases according to approved workflows.
Create notes, update permitted fields, schedule follow-up and trigger confirmation messages after staff approval where required.
Pause safely when information conflicts, confidence is low or the request falls outside delegated authority.
Track journey stages, handovers, unresolved work and quality signals across customer-facing and internal processes.
Where approved by the institution, voice characteristics can provide an additional authentication signal during a natural conversation. The design can reduce repetitive knowledge questions while retaining fallback factors, risk checks and human review.
A unique voiceprint may support authentication, authorised document retrieval or protected actions only within the bank’s consent, privacy and security framework. It should never become the sole path when confidence is uncertain or a customer cannot use voice verification.
Create a voiceprint through a consented, bank-approved enrolment journey.
Use the voice signal as one factor within the institution’s identity and risk controls.
Continue understanding speech through ordinary background noise while retaining conversational context.
Move to another verification factor or a person whenever confidence or policy requires it.
AIIT brings the technology together as a governed banking solution, then configures the experience, knowledge, integrations and operating controls around your institution.
Let a customer pause, correct or redirect the conversation without restarting the journey.
Connect with approved telephony, routing and employee-assist environments for contextual transfers.
Ground responses in access-controlled procedures, product information and customer-permitted context.
Measure intents, journey completion, transfers, quality, customer outcomes and institution-defined fields.
Apply deployment, model, speech and data boundaries that align with security and risk requirements.
Assess hosted, private or hybrid patterns against the institution’s architecture and data obligations.
ANNA recognises the request across voice, chat, messaging or email.
The journey applies the bank’s approved authentication and consent steps.
Knowledge, customer-permitted context and submitted documents are assembled.
A permitted action is completed or prepared within clearly delegated limits.
Risk, advice, hardship, complaints and unusual cases move to authorised people.
The outcome, evidence, summary and next step are written to the appropriate workflow.
People remain accountable. Financial advice, credit decisions, hardship, complaints, suspicious activity and other regulated or sensitive matters stay with appropriately authorised staff.
AIIT can map a priority interaction, define its controls and design how ANNA, SAM Digital Employees and banking staff work together.
Banks run on thousands of routine conversations: balance and transaction queries, card activations, lost-card reports, payment traces, onboarding questions and product enquiries. A Super Agent Model is a Digital Employee that can take those conversations on the phone and on every digital channel, authenticate customers, act in core systems within strict permissions, and hand anything sensitive to the right specialist.
SAMs work at machine speed with meticulous consistency. They apply the same verification steps every time, never forget a disclosure, and can read policy, product terms and procedures in seconds to give precise answers. They are especially valuable after hours and on public holidays, when customers still lose cards, suspect fraud or need help, but branches and most contact-centre teams are closed.
Your bankers remain responsible for advice, lending decisions, complaints and vulnerable customers — supported by a SAM co-pilot that summarises history and suggests next steps.
Answers everyday queries, balances, transactions, fees and branch information with authenticated access.
Activates, freezes, blocks and reorders cards, and records suspected fraud immediately.
Guides new customers through account opening, document capture and identity verification.
Traces missing payments, explains holds and raises investigation requests with full detail.
Takes scam and fraud reports around the clock, secures accounts per policy and escalates to your fraud team.
Supports SME customers with account admin, merchant queries and document requests.
Completes forms, reconciliations and data entry tasks across internal systems at computer speed.
Listens alongside staff, retrieves policy and product answers and drafts call notes automatically.
The customer calls, opens the app chat or sends a message. The SAM identifies intent within the first sentence.
Identity is confirmed using your approved factors, such as voice, one-time codes or in-app approval.
The SAM performs the permitted task — freezing a card, explaining a transaction or updating details — directly in your systems.
High-risk requests, unusual patterns or vulnerability cues trigger step-up checks or transfer to a person.
The customer receives written confirmation, and the interaction is logged with a summary.
Where needed, the SAM follows up proactively, for example when a replacement card is dispatched.
A SAM can perform almost any role in an organisation that happens on the phone or on the computer — with the speed of software and the manner of your best team member. These capabilities come standard with every Digital Employee AIIT deploys for banking.
Each SAM has a name, a personality, a natural voice, a defined role and access to the systems it needs — onboarded like a new team member, not installed like software.
SAMs speak with customers and also operate business applications: reading records, completing forms, updating systems and generating documents.
Structured tasks are completed in seconds, following your rules the same way every time, with validation checks and confidence thresholds that route uncertain cases to people.
No rosters, sick days or penalty rates. SAMs answer at 3am, on weekends, at Christmas and during unexpected surges.
A SAM can handle multiple simultaneous calls and chats, so customers are answered immediately instead of waiting in a queue.
Human-like speech with a Kiwi accent as standard, fast response times and clear audio on real phone numbers.
Voice, SMS, email, WhatsApp, Messenger, Instagram and web chat share one memory, so customers never repeat themselves.
SAMs remember previous interactions, pick up dropped conversations and recognise returning customers.
Tone, sentiment and stress cues are recognised, and SAMs adapt their language — or hand over to a person — when empathy matters most.
SAMs can be configured to converse in multiple languages, serving diverse New Zealand and international customers.
When a person is needed, the conversation transfers with a summary, so no customer has to start again.
Per-client data isolation, encryption, role-based permissions and complete audit trails of every action.
Every interaction is recorded, transcribed and summarised for quality assurance and compliance.
Performance is monitored, gaps identified and knowledge and processes updated across every SAM at once.
More than two-thirds of the hours in a year fall outside a standard working week. Add weekends, Matariki, Waitangi Day, Easter, ANZAC Day, Labour Weekend and the long Christmas break, and most organisations are effectively closed for much of the time their customers need them. SAM Digital Employees keep banking services running through all of it — answering, resolving, recording and preparing work so your team starts each day ahead rather than behind.
There are no overtime premiums, no rostering gaps and no drop in quality at 3am. Every after-hours contact receives the same careful, compliant handling as a mid-morning call, and anything that genuinely needs a person is escalated according to your on-call rules.
Scams do not keep office hours. When a customer realises at midnight on a public holiday that they have been tricked into a payment, every minute counts. A SAM can answer immediately, verify the customer, freeze cards or accounts in line with your policy, capture a complete report and alert your fraud team with everything they need. Customers receive calm, clear guidance at the moment they need it most.
Digital Employees are not limited to customer conversations. Many banking roles involve working across several internal systems: copying data between applications, checking forms, reconciling records and preparing reports. SAMs can perform these computer-based tasks at speeds no human can match, with every step logged. Staff are freed from keystroke work and can focus on customers, risk and growth.
Because SAMs follow procedures exactly as documented, they also expose where procedures are unclear or inconsistent — a useful side effect for operations and risk teams.
Banking-grade deployment means strict access control, per-client data isolation, encryption in transit and at rest, full audit trails and clear boundaries on what each SAM may do. AIIT works with your security, privacy and risk teams to define permissions, test behaviour and monitor performance continuously, so every Digital Employee operates inside your control framework.
Every SAM begins with discovery. We map the roles, conversations and computer tasks you want a Digital Employee to take on, the systems involved, the rules it must follow and the points where people must stay in control. We then design its persona, voice, knowledge and permissions, integrate it with your platforms, and test it against real scenarios before a controlled launch.
After go-live, AIIT monitors performance, reviews conversations, and continuously improves knowledge and workflows. Most organisations start with one high-volume use case, prove the value, then add further roles until SAMs become a natural part of the workforce. Outcomes vary with call volumes, processes and integrations, so we agree measurable goals with you up front and report against them openly.
Most automation in banking has been built as tools: a form here, a menu-driven phone system there, a chatbot answering a handful of FAQs. Each one handles a fragment of the work and pushes everything else back to people. A SAM is different because it is designed around a role rather than a feature. It is given a job description, the knowledge and systems access that job requires, the policies it must follow and the boundaries of its authority — exactly as you would onboard a new employee.
That shift matters. Instead of asking "which questions can the bot answer?", banking leaders can ask "which parts of this role can a Digital Employee take on completely, and where should a person step in?" The answer is often far more than expected: gathering information, checking it, updating systems, explaining next steps, sending confirmations and following up are all tasks a SAM can complete from start to finish.
On structured work, SAMs operate at a pace no human can match. Reading a forty-page document, comparing figures across several systems, filling in a multi-screen form or drafting a detailed summary takes seconds rather than minutes. Just as importantly, SAMs do it the same way every time. They do not skip a step because it is late in the shift, forget a disclosure because the customer was chatty, or mistype a reference number.
Accuracy is engineered, not assumed. AIIT designs every SAM with validation against source systems, confidence thresholds, mandatory-field checks and clear rules for escalation. When a SAM is unsure, it says so and hands the task to a person with everything gathered so far. Every action is logged, so results can be audited and improved continuously.
The goal is not an organisation without people; it is an organisation where people spend their time on work that genuinely needs them. In banking, that means judgement, empathy, negotiation, complex problem-solving and relationships. SAMs take the repetitive volume, the after-hours shifts, the peaks and the administrative follow-through, and they act as real-time co-pilots for staff during live conversations.
Teams that work alongside SAMs typically find their days change shape: fewer interruptions, less data entry, cleaner handovers and more time for customers who need a human touch. New staff ramp up faster because a co-pilot is always available to answer procedural questions, and experienced staff can focus on the cases where their expertise makes the biggest difference.
Deploying Digital Employees in banking requires the same discipline as hiring people into regulated roles. AIIT defines exactly what each SAM may see, say and do; configures approval steps for high-impact actions; and aligns behaviour with your privacy, security and conduct obligations. Per-client data isolation, encryption, role-based access and full audit trails are standard.
We also recommend transparency with customers. SAMs can introduce themselves as digital assistants while still sounding warm and natural, and customers can always ask for a person. Clear disclosure, consistent behaviour and easy escalation build trust — and trust is what allows Digital Employees to take on more responsibility over time.
Every SAM deployment starts with agreed measures. Depending on the role, these may include answer rates, time to resolution, completed tasks without human intervention, after-hours contacts handled, document completeness, customer satisfaction, staff time released and cost per interaction. Dashboards make these visible from day one, alongside recordings and transcripts that show exactly how each outcome was achieved.
Results vary with volumes, processes and integrations, so AIIT does not promise a universal figure. Instead, we start with a focused use case in banking, measure it honestly, and expand to further roles once the value is proven. Many organisations find that the first SAM pays for its own expansion by revealing just how much of the workload was repetitive, rules-based and ready for a Digital Employee.
At 6am, while the office is still dark, your banking SAM is already working. It has answered overnight calls and messages, completed the routine requests end to end, and prepared a tidy list of everything that needs a person, each item with a summary, the relevant records attached and a suggested next step. When your team logs on, they start with decisions, not detective work.
Through the day the SAM handles the morning rush without a queue, takes on the repetitive contacts that would otherwise interrupt skilled staff, and works quietly in the background on computer tasks: updating records, reconciling information between systems, chasing outstanding documents and sending confirmations. During live conversations it listens alongside your people, surfacing policy answers and drafting notes so nothing is missed.
In the evening, at weekends and on public holidays, it simply keeps going. A customer who rings at 10pm on Boxing Day receives the same careful, informed and friendly service as one who calls at 10am on a Tuesday. Nothing is left to voicemail, and nothing waits unnecessarily for the next business day.
The most successful banking programmes start small and specific. Choose one role or journey with high volume, clear rules and measurable outcomes — for example after-hours contacts, document collection or status updates. AIIT works with your team to map that journey, define what good looks like, identify the systems involved and agree where people must remain in control.
We then design your SAM's persona, voice and knowledge, connect it to the required platforms, and test it thoroughly with realistic scenarios, including difficult and unusual ones. A controlled launch follows, with close monitoring and rapid refinement. Once the first Digital Employee is performing well, additional roles can be added using the same foundations, building a digital workforce that grows with your organisation.
Talk to AIIT in Auckland about where a SAM could make the greatest difference in your banking operation. We will help you identify the opportunity, estimate the effort involved and plan a practical first step.
Although SAMs are best known for answering calls and messages, many of the most valuable Digital Employee roles in banking sit behind the scenes. Any role that is performed on a computer, following documented steps across business applications, is a candidate. SAMs can prepare reports, reconcile data between systems, check forms for completeness, triage inboxes, draft correspondence for approval, schedule work, monitor queues and flag exceptions for human review.
Internal service desks are another strong fit. Staff can ask a SAM how to complete a procedure, where to find a document or what policy applies to an unusual situation, and receive an accurate answer drawn from approved knowledge in seconds. HR, IT and finance teams use the same approach to handle routine employee requests around the clock.
Because each SAM shares the same secure foundations — identity, permissions, knowledge, memory, logging and handover — adding a new role is far faster than building a new system. Over time, organisations in banking can assemble a coordinated team of Digital Employees, each specialised in its role, collaborating with one another and with people to deliver a faster, more consistent and more resilient operation.
Throughout, the principle stays the same: SAMs take on the work that is repetitive, rules-based, time-sensitive or out of hours, and people keep ownership of judgement, relationships and accountability.
ANNA OS provides the conversational intelligence. Each Super Agent Model becomes a specialist Digital Employee. The AIIT Agentic Intelligence Management system gives your Banking organisation the controls to direct, measure, govern and expand the whole team.
Customers can move between voice, web chat, SMS, email, WhatsApp, Messenger, Instagram and other approved channels while AIM preserves the relevant journey context and operating rules.
No. SAMs provide information and service. Regulated advice and lending decisions stay with qualified people.
Using the factors your bank approves — one-time passcodes, in-app approvals, knowledge checks or voice verification.
Complaints are recognised, recorded accurately and routed to your complaints team according to your process.
Yes. SAMs use APIs and secure integrations to act in core banking, CRM, card and case management platforms.
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Design my SAMBrowse 81 Typical SAM Roles — from receptionist and claims specialist to compliance, sales and operations — each a Digital Employee powered by ANNA and managed by AIM.
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