Our capabilities reflect how we approach financial consulting in practice, combining structured thinking with disciplined delivery across complex mandates.
AI adoption is now considered a board-level priority in most financial institutions. However, fragmented use cases and tactical deployments limit impact. In regulated environments, scaling AI requires clarity on value, accountability, and governance. With digital transformation consulting, institutions must connect AI initiatives to core decision-making, embed them into frontline and risk processes, and ensure broader adoption across teams.
Our work guides organizations in utilizing AI ambition for tangible results across banking and financial services. We help define enterprise-wide AI strategy, align technology and business priorities, and embed AI into core decision-making and frontline operations. Our team establishes governance, talent, and performance tracking to ensure AI initiatives are adopted and deliver measurable business impact.
An AI Center of Excellence provides the structure needed to scale AI responsibly within complex organizations. It defines how AI strategy translates into delivery, how capabilities are built, and how use cases move from idea to impact. Without this foundation, AI efforts remain fragmented and complex. A well-structured CoE covers strategy alignment, capability building, use-case lifecycle management, governance and ethics, business casing, execution oversight, and performance tracking.
We help with a structured AI Center of Excellence. Our team defines a clear AI strategy aligned with immediate business priorities, creates a tailored operating model with the appropriate infrastructure, talent, and governance, and establishes an AI Accelerator to identify, prioritize, and pilot high-impact use cases. This provides a comprehensive reporting framework, while KPIs ensure tracking of the value generated by AI adoption.
Generative AI transforms manual processes involving large volumes of unstructured data into quick, data-driven decision-making workflows. The key areas for Generative AI applications in financial services currently include sales management, customer service, coding assistance, and marketing and content design. To fully realize its potential, organizations must focus on upskilling teams and redesigning workflows.
We guide organizations in transforming manual workflows into data-led processes with Generative AI. Ektis defines business-focused AI applications in financial services, builds the infrastructure and governance needed for scale, and develops teams to adopt new ways of working. Pilots are accelerated through an AI Accelerator, and outcomes are tracked via KPIs to ensure a significant influence on operations, customer experience, and efficiency.
As banking and financial services mature in their AI journey, demand shifts toward autonomous systems that act within defined rules. Agentic AI supports this evolution by combining decision logic, workflow execution, and governance into a single model. These agents operate continuously, respond in real time, and escalate when needed. This supports functions such as customer care, campaign orchestration, sales activity, and operational monitoring while remaining compliant.
We support the deployment of Agentic AI systems for banking and financial services. Our work spans designing AI strategy and operating models, equipping teams with the necessary governance and infrastructure, and prioritizing high-value use cases through our AI Accelerator. By continuously monitoring clear KPIs, we ensure autonomous agents deliver measurable results while remaining compliant and accountable.
Ektis is growing with people who value integrity, commitment, and genuine contribution. We work closely with institutions that depend on strong financial expertise.
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