Real results, already shipped.

Your staff — especially newer hires — keep escalating questions that don't need to be escalated, simply because they can't find answers that already exist. Give them an instant, always-on expert on your internal processes and systems, and those doubts get resolved on the spot.

A 24/7 conversational agent that acts as a master consultant on any internal process, product, or system, answering staff questions on its own.

• Draws answers straight from your knowledge base (Confluence, Notion, and the like), so they're always current
• When something genuinely needs a human or falls outside its scope, it opens a pre-classified ticket (JIRA/ADO) with all the context already captured and routes it to the right person

Business teams always have technology needs that never make it to IT in any usable form — they get lost in hallway conversations or buried in the backlog. Steven is the business side's advocate at the CIO's table — capturing, shaping, and raising each department's needs until they become prioritized, well-specified improvements instead of forgotten asks.

A conversational agent in constant dialogue with your business stakeholders, proactively drawing out pain points, manual workarounds, and technology gaps. It:

• turns what it hears into well-formed business cases, complete with the reasoning for how they're prioritized
• routes them to the right IT or product owners
• keeps a live register of every request and its status, and notifies stakeholders automatically — finally closing the loop between business and technology

Branch managers make decisions all day, but the numbers they need are stuck in static reports or behind a slow request to the data team. Put the answers in their pocket — live, and right inside the channel they already use most.

A management advisor right inside WhatsApp that reports in real time on any operational metric or status across a branch. Managers just ask, in plain language — "how are we tracking today?" — and get a clear, structured answer backed by precise data from the bank's central systems.

From there it can reach beyond your own walls and fold in external data sources:

• standing with the central bank and peer banks
• local and regional financial-industry news
• government moves that affect how the bank operates

Most arrears don't happen because customers won't pay — they happen because nobody reached them at the right moment with the right information. Traditional collections is reactive, one-size-fits-all, and punitive. Turn that dreaded touchpoint into a financial-advisory moment:

• catch early risk signals
• reach the customer before they slip into arrears
• guide them to a payment or refinancing path they can actually manage

A conversational agent that reads the customer's credit profile, payment history, and transactional behavior to know exactly when and how to step in. It offers payment options matched to what the customer can really afford — installments, refinancing, term extensions — and walks them through it step by step. The tone stays empathetic and solution-focused.

• Every option it offers stays within your policies
• It brings in a human operator whenever needed, and makes no credit decisions on its own — it proposes, the customer accepts, and a person or authorized system confirms

The more it engages, the smarter it gets. Over time it can:

• use predictive arrears-risk models to reach people before the warning signs are even obvious
• tailor refinancing offers even more precisely
• and — when you're ready — connect to your credit-origination system to adjust terms autonomously within approved limits

Fintech support teams drown in repetitive, context-heavy questions — accounts, transaction disputes, product guidance — that still demand real knowledge of internal systems and regulatory limits. Let an agent take the highest-volume tier of those conversations, and your people get the room to handle the complex, sensitive cases that actually need a human.

A conversational agent trained on your product catalog, policies, current regulation, and transaction history that fields customer queries across chat and messaging channels. It:

• answers questions about accounts and products
• walks customers through dispute processes

• Hands off to a human — with full context — the moment things get complex or sentiment turns negative
• Works directly with your banking core and CRM, and never exposes sensitive data outside your perimeter

Financial-crime investigation is reactive and slow — analysts piece together scattered signals by hand across systems that don't talk to each other. With AI-enabled fraud growing more than 500% year over year, no team can keep pace manually. Automate the entire investigation flow, and your analysts spend their time on judgment calls instead of data gathering.

An autonomous financial-crime investigation agent that:

• spots suspicious patterns in transactional data
• gathers and connects evidence across multiple data sources
• writes structured investigation narratives
• drafts Suspicious Activity Reports (SARs)

It takes investigations from days to hours, running around the clock and prioritizing cases by risk score.

• Every SAR comes ready for your analyst's review — the decision always stays with a person
• Works right inside your existing case-management systems — nothing to rip out

The moment a claim comes in, your adjuster is buried in documents in every format imaginable — photos, PDFs, medical records, police reports — and has to pull the relevant details out by hand before they can even assess coverage. It's the slowest, most repetitive stretch of the whole process, and exactly where claims stall. Hand your adjuster a file that's already structured, and they go straight to the decision.

An agent that:

• takes claim documents in any format
• pulls out and organizes the details that matter — parties involved, dates, amounts, what happened, the attached evidence
• hands back a standardized file ready for review
• checks for what's missing and asks the policyholder for it, conversationally

• Your adjuster gets a clean summary and makes the call on coverage and payment
• The agent never changes a policy or kicks off a payment

As the agent proves itself on document extraction, it grows into autonomous handling of the full claims cycle:

• coverage verification against policy terms
• fraud-probability scoring
• automatic reserve estimation
• settlement calculation
• and — when you're ready — payment initiation with human approval

Every day, your treasury and finance team burns hours reconciling bank movements against the books:

• downloading statements
• cross-checking records by hand
• chasing down discrepancies
• documenting the result

It's repetitive, easy to get wrong, and adds nothing strategic. Hand it off, and your treasurer gets to focus on the exceptions and the decisions — not the matching.

A conversational agent that:

• pulls bank statements and the accounting system via APIs
• runs the reconciliation on its own
• surfaces only the discrepancies that actually need your treasurer's attention
• flags anything unusual, like duplicate payments or out-of-range amounts

• Delivers a fully traceable reconciliation report — every matched movement documented with its source and logic
• Your treasurer reviews, approves, or escalates; the agent never changes a record or moves a payment

Once autonomous reconciliation is running, the same system grows into an actively managed treasury:

• cash-position forecasting from ERP and market data
• catching synthetic invoices before funds ever move
• liquidity optimization across accounts
• and — when you're ready — autonomous execution of pre-approved payments within the limits your CFO sets

Your compliance officer carries the full weight of Anti-Money-Laundering (AML) obligations — armed with internal docs, the regulator-approved protocol, and no real tooling. Every report means chasing the Data team or digging through systems by hand. It's slow, it makes compliance hostage to other people's availability, and every manual step is one more chance to file the wrong thing with the regulator.

So let's give your compliance officer full autonomy to:

• build AML reports on demand
• draft Suspicious Activity Reports (SARs) in minutes
• keep an eye on the indicators that matter — without waiting on the Data team for a single query

A chat-based agent your compliance team simply talks to. It lets them:

• ask questions of transactional data in plain language
• get SAR drafts already in the regulator's required format
• see the main AML indicators on one live dashboard

• Plugs into your existing systems through APIs, exposed over MCP (Model Context Protocol) — no rip-and-replace
• Your officer stays in control: they review and approve every draft, and the agent never touches a record or makes a decision on its own
• Its only job is to take the friction out of collecting, structuring, and presenting information
• Audit-ready by design — every source consulted, every logic step, and the full version history of each report is logged

Start where the risk is lowest, then scale as confidence grows. The same foundation extends into fully autonomous compliance orchestration:

• new reports and data sources
• continuous transaction monitoring with automatic alerts
• KYC screening at onboarding
• autonomous investigation of suspicious activity
• real-time reading of regulatory changes

Every phase delivers value before the next one starts — and none of it disrupts the way your team already works.