Preparing your experience
Most AI pilots die between the demo and production. We build the retrieval, evaluation and control layers that let generative AI run against real customer data, under real audit.
Generative AI is no longer the hard part. The hard part is grounding a model in your policies, connecting it to systems of record that were written decades ago, and proving to a regulator that every answer can be traced.
VSquare Digital builds the layer between the model and the enterprise: retrieval over governed content, deterministic tool calls into core systems, evaluation harnesses that catch regression before customers do, and human escalation paths that never leave an interaction stranded.
We are model-agnostic by design. The same architecture runs against OpenAI, Azure OpenAI, Anthropic, Google or an open-weight model hosted inside your own tenancy — because procurement decisions change and your architecture should not have to.
Ranges observed across comparable engagements. Yours will be modelled against your own baseline.
What changes for the organisation, stated as outcomes rather than features.
Retrieval-augmented generation over your approved content, with citations on every answer and a hard refusal path when confidence is low.
Agents that do the work — raise the ticket, reconcile the exception, draft the credit memo — inside typed tool contracts with full replay.
Prompt versioning, PII redaction, jailbreak filtering, decision logs and model cards aligned to EU AI Act and ISO/IEC 42001 expectations.
Semantic caching, small-model routing and token budgets per workflow so cost per resolved case is a number you can forecast.
A governed path from user intent to a system-of-record action, with every hop observable.
Where people and systems meet the assistant.
Intent routing, planning and tool selection with guardrails at every step.
Grounding content and the models that reason over it.
The estate the agent is allowed to read from and write to.
The platforms and standards we build and support in this practice.
A sequence designed so each stage produces something usable, not just a document.
We rank candidate workflows by volume, handling cost and risk, and discard the ones AI should not touch.
Source systems are inventoried, content is cleaned and chunked, and access rules are mapped to the retrieval layer.
Tools, prompts and policies are implemented against a golden dataset, with evaluation running in CI from day one.
Adversarial testing, bias review, PII leakage checks and a sign-off pack for risk and compliance.
Progressive rollout by segment, with drift monitoring, cost dashboards and a quarterly model refresh cycle.
We rank candidate workflows by volume, handling cost and risk, and discard the ones AI should not touch.
Source systems are inventoried, content is cleaned and chunked, and access rules are mapped to the retrieval layer.
Tools, prompts and policies are implemented against a golden dataset, with evaluation running in CI from day one.
Adversarial testing, bias review, PII leakage checks and a sign-off pack for risk and compliance.
Progressive rollout by segment, with drift monitoring, cost dashboards and a quarterly model refresh cycle.
An agent-based claims pipeline reduced the average motor claim cycle from six days to four hours, with 58% of claims settling without adjuster intervention.
0 hrsAverage claim cycle, from 6 days
Read the case studyMake the estate talk without another point-to-point tangle
API strategy, ESB and middleware modernisation, event streaming and partner ecosystems designed to be governed at scale.
Explore practiceMigration with a business case that survives the invoice
AWS, Azure and OCI migration and modernisation — landing zones, workload moves and the FinOps discipline that keeps the savings real.
Explore practiceReplatform the ledger without stopping the bank
Core banking selection, implementation and migration — progressive, reversible, and executed without a big-bang cutover weekend.
Explore practiceA conversation with the practice lead, not an account manager. Bring the constraints — that is the useful part.