One AI agent.
Every product.
Out of the box.
Altis AI is not a chatbot. It is a modular agentic intelligence system that perceives data, reasons across context, and executes actions — autonomously or with human-in-the-loop approval — inside every Altisly product.
Born inside Atreasury. Built to plug into any financial operation — reconciliation, compliance, merchant management, forecasting, and settlement — without configuration overhead.
<500ms
Agent Response Time
97%+
Decision Accuracy
6
Products Powered
24/7
Autonomous Monitoring
0
Prompt Engineering Required
Origin — Atreasury
What Altis AI does inside the treasury system
Altis AI was built to solve the hardest problems in corporate treasury — where the cost of a wrong decision is measured in millions. These are its core capabilities in native deployment.
Anomaly Detection on Cash Flows
Real-TimeThe agent monitors every incoming balance update against 90-day behavioural baselines per account, currency, and time-of-day. It detects unexpected inflows, outflows, missing credits, and unusual sweep patterns — flagging them in real time with explanations.
Liquidity Gap Prediction
PredictiveThe agent forecasts intraday and multi-day liquidity gaps before they occur by combining real-time balances with the pending settlement queue, known payment obligations, historical inflow patterns, and FX movements.
Automated Sweep Orchestration
AutonomousWhen the agent identifies a liquidity imbalance it evaluates all available funding sources — cross-currency, cross-entity, cross-bank — calculates the cheapest path including FX costs, and either executes automatically or routes an approval request with full workings shown.
Intelligent Report Generation
NLPAt 09:00 daily the agent generates the liquidity report in plain English — not just numbers but a narrative explanation of what changed, why, what the risks are today, and what action it has already taken or recommends.
Pattern-Based Fraud Detection
ML ModelThe agent scores every treasury-level transaction against fraud typologies — structuring, round-trip flows, unusual beneficiary patterns — using ML models trained on financial crime datasets, flagging suspicious activity before funds move.
Natural Language Querying
ConversationalTreasury teams can ask the agent questions in plain English directly from the dashboard. It queries across all connected data sources, applies context, and responds with precise answers and the underlying data — no SQL, no BI tool required.
How the Agent Works
Perceive. Reason. Act. Learn.
Altis AI runs a continuous agentic loop — it observes every event across connected systems, builds context, reasons through the right action, and either executes autonomously or routes to a human for approval.
Perceive
The agent continuously ingests real-time data streams from every connected system — bank APIs, settlement queues, ledgers, market feeds, and user actions.
- Real-time balance & transaction feeds
- Pending settlement queue monitoring
- Market data (FX, rates, benchmarks)
- System event streams & webhooks
Reason
Multi-step reasoning chains connect observations across data sources, apply domain knowledge, model outcomes, and produce an explainable decision with a confidence score.
- Cross-source context assembly
- Domain-specific financial reasoning
- Multi-path outcome modelling
- Explainable reasoning trace
Act
The agent takes action — autonomously for pre-approved low-risk decisions, or by routing an approval request with full workings to the right human for high-value or novel situations.
- Autonomous execution within defined limits
- Structured approval requests with workings
- Action logging with full audit trail
- Rollback capability on executed actions
Learn
Every approved, rejected, or modified decision feeds back into the agent's models. It continuously recalibrates confidence thresholds, improves pattern recognition, and adapts to your organisation's evolving behaviour.
- Human feedback loop integration
- Confidence threshold recalibration
- New pattern recognition over time
- Organisation-specific model fine-tuning
Universal Plug-In
Same agent. Every product. Zero setup.
Enable Altis AI on any Altisly product and it immediately understands the context, connects to the relevant data streams, and starts operating. No training data labelling. No prompt engineering. No integration work.
AI-Assisted Break Resolution
Reconciliation Suite
The agent analyses every unmatched transaction, identifies the probable cause, suggests the correct match or resolution action, and auto-resolves breaks that fall within configured tolerance bands.
AML Risk Intelligence
Compliance Suite
The agent scores every transaction against AML typologies in real time, explains which rules were triggered and why, surfaces the highest-risk cases to analysts first, and drafts SAR narratives for review.
Merchant Risk Scoring
Merchant Suite
The agent continuously monitors merchant transaction velocity, chargeback ratios, and behavioural patterns — flagging merchants approaching risk limits and recommending holds, enhanced monitoring, or limit reductions before breaches occur.
Intelligent Forecasting
Liquidity Forecasting Suite
The agent generates probabilistic cash flow forecasts, explains what is driving each projection, surfaces the top risks to the 30-day position, and proactively recommends hedging or funding actions when it sees developing pressure.
Settlement Failure Triage
Settlement System Suite
When a settlement fails the agent immediately diagnoses the cause, evaluates retry eligibility, models the downstream liquidity impact, and either auto-retries within policy or routes an exception with a recommended resolution path.
Cross-Product Intelligence
All Products
Because Altis AI operates across all products simultaneously, it can surface connections that no single product would see — a merchant settlement delay causing a treasury gap, or a compliance hold blocking a reconciliation.
Under the Hood
The capabilities that make it work
Multi-Step Chain-of-Thought Reasoning
The agent builds a reasoning chain across multiple data sources before arriving at a conclusion — not pattern matching, but structured inference. Every step is logged and explainable.
Context Memory & Session Continuity
The agent retains context across interactions — it knows what decisions were made yesterday, what was approved last week, and how the organisation tends to respond to specific situations.
Explainable AI Outputs
Every action recommendation includes a full explanation of what was observed, what was inferred, and why this action was chosen — not a black box. Designed for regulated financial environments.
Configurable Autonomy Thresholds
Define exactly which action types, value ranges, and risk levels the agent can execute autonomously versus which require human approval. Full audit trail regardless of mode.
Natural Language Interface
Ask the agent questions in plain English across any connected product. It queries live data, applies domain context, and returns precise answers — no SQL, no dashboards required.
Real-Time Continuous Learning
Every human override, approval, or correction teaches the agent. Confidence thresholds auto-calibrate over time, and new patterns in your data are incorporated into the models continuously.
Control Model
You set how much the agent operates on its own
Altis AI ships with three configurable autonomy levels. Set them globally, per product, per action type, or per value threshold. The agent never exceeds the trust level you define.
Advisory Mode
SafestThe agent observes, analyses, and recommends — but takes no action without explicit human approval on every decision. Full reasoning shown for every suggestion.
Supervised Mode
RecommendedLow-risk, pre-approved actions execute automatically. High-value or novel decisions route to a human with full workings. Thresholds are fully configurable per action type.
Autonomous Mode
Maximum SpeedThe agent executes all decisions within its configured scope without human approval, logging every action in real time. Used for well-understood, time-critical operational tasks.
I have identified a liquidity gap of $2,400,000 in your Citibank USD account expected at 14:30 today.
Deployment
Deploy Altis AI the way that fits your stack
Embedded in Product
Enable Altis AI with a single toggle inside any Altisly product. Immediate activation — no integration work, no data pipelines to configure.
REST API
Call the Altis AI agent directly from your own systems. Pass any financial event and receive a structured decision with reasoning, confidence score, and recommended action.
Webhook Triggers
Subscribe the agent to any event stream. When a defined trigger fires — balance threshold, failed settlement, new alert — the agent activates and responds in under 500ms.
Deploy the intelligence layer across your products
Talk to our team about activating Altis AI on your Altisly product stack.