From strategy and governance to platforms, accelerators, and implementation, we help banks design, build, and scale AI safely across Retail and Wealth banking.
Three integrated building blocks that take you from first ideas to scaled, governed delivery.
Education & Enablement and Advisory Services tailored to regulated banking.
Hands‑on training enabling senior leaders to understand, challenge, and steer agentic AI initiatives.
Practical, banking‑specific training covering agentic patterns, risks, governance, and adoption.
Decision‑driven engagement defining AI ambition, boundaries, priorities, and explicit trade‑offs across the AI transformation roadmap.
Structured identification and prioritisation of agentic AI use cases across the banking value chain.
Redesigning organisation, processes, governance, and technology with AI as a core capability.
Defining autonomy boundaries, Human‑in‑the‑Loop controls, and audit‑ready AI governance.
The framework evaluates AI agents beyond technology, assessing business logic, policy fidelity, risk controls, and operational readiness in regulated environments. It is modular and can be applied as a standalone assessment or as an entry point into broader AI transformation programs, structured across six assessment pillars:
Independent guidance on platforms, data foundations, vendors, and ecosystem choices.
Agentic AI use cases, accelerators, and knowledge assets, powered by PULSE8.ai.
Agent‑focused retrieval combining web search, intelligent crawling, and vector‑based document retrieval.
LLM‑powered extraction of high‑specificity information from complex, multi‑format, unstructured documents.
Self‑healing mechanism detecting malformed outputs and guiding models with corrective feedback.
Curated banking use cases across Retail, Wealth, Compliance, and Operations.
Standardised frameworks covering business value, feasibility, risk, and time‑to‑value.
Reusable operating‑model patterns tailored to regulated banking environments.
Platforms, products, sandbox environments, and delivery capabilities to take use cases into production.
A modular, LLM‑agnostic platform purpose‑built for regulated banking.
Governed environment for prototyping and co‑creating agentic AI use cases, deployable as Synpulse‑hosted or client‑managed (cloud / on‑prem) and designed to accelerate experimentation while preventing shadow AI.
Independent assessment of an AI‑enabled SoW agent embedded in the client's CLM platform, covering policy benchmarking, prompt engineering, testing strategy, security controls, monitoring, and incident management to elevate the solution to enterprise‑grade standards.
Successful PoC automating and improving the accuracy of corporate‑actions notifications to clients and relationship managers, significantly reducing manual workload and regulatory risk.
GenAI‑driven ingestion and normalization of unstructured client documents, enabling automated generation of structured data with up to 90% efficiency gains.
Use of LLMs to map attributes across complex datasets, shortening data‑model update cycles and improving accuracy through semantic mapping.
Rapid extraction and structuring of legacy client documents using Intelligent Document Processing (IDP), enabling compliance teams to meet regulatory deadlines.
Design and delivery of a hands‑on, COO‑level AI Training Lab focused on agentic AI concepts, governance, and practical application, including live agent‑building exercises in a secure sandbox environment.