Configure a product
Start with proven product capabilities, your approved information and a defined operating owner. Confirm the required features and plan during discovery.
Engineer the service, document and operational layers around your institution. AI can prepare evidence and coordinate work while authorized people retain decisions that carry financial or regulatory consequences.
For banks, insurers, fintech teams and finance operations leaders.
Follow a question from trusted sources to an answer your team can inspect.
Select the documents, records and permissions the assistant can use. Freshness and access are part of the design.
Select the documents, records and permissions the assistant can use. Freshness and access are part of the design.
Approved documents + access rules → A permission-aware knowledge collection
Find relevant passages for the question. Keep the source attached so the answer can be checked.
A customer or employee question → Relevant passages with source references
Present a grounded response, show the sources and hand off when the available evidence is not enough.
Retrieved evidence + conversation context → A reviewable answer and a clear next step
Choose a workflow and inspect the sources, intelligence, review and outcome. These are engineering examples to scope with your team.
Applications stall because missing fields and conflicting documents are found too late.
Submitted forms, approved document types and a versioned completeness checklist.
Application portal · document store · case management
An extracted field, risk signal or suggested answer is not an approval. Authority, access and exception policy are defined before integration.
Adopt a product where it fits. Connect it to approved systems. Build a tailored application when the workflow needs more.
Start with proven product capabilities, your approved information and a defined operating owner. Confirm the required features and plan during discovery.
Map identifiers, permissions, API actions and error paths. Keep the source of truth clear and design an accountable handoff when a system is unavailable.
Create the portals, mobile experiences, data pipelines and operational interfaces your organisation needs. AI Squad can bring product, design and engineering into one delivery team.
Inputs, dependencies and review points remain visible. The measures below are evaluation criteria for your pilot, not claimed customer results.
Applications stall because missing fields and conflicting documents are found too late.
Customers repeat their request between channels while agents search policies and account context.
Teams spend time assembling records before they can investigate a mismatch.
We scope the users, systems and decisions first. A pilot produces a working flow, review criteria and a rollout decision—not a promise that every integration is already available.
Scope the first workflowA defined process and accountable business reviewer
Representative redacted documents and approved knowledge
Decision boundaries, retention requirements and test cases
Workflow map · integration contract · test cases · review roles · rollout and support ownership. Scope and timing are agreed after discovery.
Yes, the starting point is your existing operation. Discovery checks API access, identifiers, authentication and data quality. Where a system cannot support a required action, we agree a safe handoff or a separate integration scope.
It can combine both. We identify the product capabilities that fit, the configuration required and the engineering work needed around them. Your proposal separates these responsibilities and deliverables.
Agree a baseline, representative test cases, source quality and acceptance criteria before rollout. Review incorrect outputs, failed actions and human effort as well as speed. Expand only when the responsible team accepts the result.