What you can do when data arrives the moment it happens
This is the catalog of what we solve with Data Streaming and AI agents, organized by industry. It is not a list of ideas: every case matches an architecture pattern we know how to implement and that already runs in production across the region.
Companies that trust us
Banking and financial services
Banking either runs in real time or it does not run
Every transaction is a decision with regulatory consequences. The challenge is not only deciding fast, it is being able to explain years later why it was decided that way.
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Fraud detection inside the transaction
The payment is scored against customer behavior and the context of the moment before authorization, not in tomorrow morning's report.
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Risk and credit decisions driven by events
The risk profile updates with every movement, and the model making the call is documented, versioned and monitored for bias.
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Core modernization without replacing the core
The core publishes its changes as events and digital channels consume them from there, so migration can move domain by domain with no downtime window.
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Complaint handling with auditable evidence
The agent resolves the complaint by querying the right systems and records what it checked and why it decided as it did.
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Digital onboarding and identity verification
The verification steps are orchestrated as an agent workflow with narrowly scoped tools, and every check is traced.
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Continuous compliance and regulatory reporting
The events the regulator asks you to report are captured in the stream, instead of being rebuilt at month-end from several databases.
Telecommunications
The network already emits the events; the business has to use them
Telemetry already exists and it arrives in volume. The problem is that it lives in the operations tooling and never reaches commercial decisions or customer care.
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Service quality and degradation detection
Telemetry is aggregated by area and by service, and degradation is detected against each area's baseline instead of a fixed threshold.
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Automated first-line technical support
The agent checks the real state of the line, runs the diagnostics a technician used to run and escalates with the context already gathered.
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Billing and dispute management
Agents review usage, apply the billing rules and explain the adjustment to the customer, with the traceability a regulator requires.
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Customer churn prevention
Churn risk signals are computed on the stream, so retention acts while the customer is still frustrated and not a month later.
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Service activation and provisioning
Activation is modeled as an event flow between systems, with agents resolving the cases that today get stuck waiting for manual intervention.
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Network and capacity optimization
Usage per cell and per service feeds capacity decisions with data from the present, not with last quarter's average.
Retail and consumer
Customers decide in seconds; inventory has to know it
Stores, e-commerce and the distribution center usually keep separate copies of the same state. That gap is what produces sales of out-of-stock products and prices that do not match across channels.
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A single inventory across channels
Every movement is published as an event and availability is computed in the stream, so all channels work off the same state.
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Pricing and promotions in sync
A price change propagates to every channel at the same instant, instead of reaching each system whenever its own process runs.
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Recommendations while the customer is browsing
Session context is built on the stream and feeds the recommendation while the customer is still looking.
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Replenishment and store-to-store transfers
Agents watch for stockouts, propose store-to-store movements and raise the orders, with a human approving anything above a set amount.
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Post-sale support and order status
The agent answers with the real order status by querying logistics and billing, without the customer having to wait for a human.
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Loss prevention and checkout anomalies
Anomalous patterns at the point of sale are detected on the transaction stream, not in next month's audit.
Manufacturing and logistics
One unplanned stoppage costs more than all the instrumentation
The plant already emits signals and the fleet already reports position. What is almost always missing is a backbone that carries those signals to whoever can act on them.
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Plant monitoring and predictive maintenance
Equipment telemetry is processed in the stream and deviation is detected before it turns into a stoppage.
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Batch traceability and supply chain
Every step of the product is recorded as an event, so reconstructing the traceability of a batch stops being a project and becomes a query.
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Production planning on real demand
Demand coming from the channels feeds planning as it happens, instead of a weekly consolidation.
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Route and fleet optimization
Position, traffic and delivery commitments are combined in the stream, and agents propose the reassignment when something falls off plan.
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Assisted quality control
Agents review inspection results against the specification and document the decision for audit.
Insurance
How fast a claim moves defines the policyholder's experience
A sector where the agent's decision carries contractual and regulatory consequences, so traceability is not optional.
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Claims triage and routing
Claims are classified and routed against auditable criteria, leaving the final call on complex cases to an analyst.
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Fraud detection in claims
Suspicious patterns are scored as the claim comes in, cross-checking the history against the signals of the moment.
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Assisted quoting
An agent gathers the applicant's information, checks it against the underwriting rules and prepares the proposal for review.
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Policy renewal and retention
Non-renewal signals are detected on the stream and trigger the commercial action before expiry.
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Governance of underwriting models
A model inventory, bias and drift monitoring, and the evidence the risk function is going to ask for.
Healthcare
The clinical systems already exist; what is missing is for them to talk
Clinical data is spread across systems that do not integrate, and the patient pays for that fragmentation in waiting time.
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Event-driven integration of clinical systems
Medical records, laboratory and scheduling publish and consume events instead of integrating pair by pair, with access control and traceability.
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Smart scheduling and appointment management
Agents reschedule, confirm and fill the gaps a cancellation leaves, without tying up staff on phone calls.
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Patient triage and routing
Initial classification against documented, auditable criteria, always leaving the clinical decision to a professional.
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Service authorization and medical audit
The authorization process is automated with a record of which policy was applied and which version was in force.
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Remote patient monitoring
Device signals arrive as a continuous stream and the alert fires when it happens, not at the next review.
Which of these cases looks like yours?
Book 30 minutes with a senior architect. We look at your actual case and tell you what it would take to get it into production. No sales pitch.