the human-AI partnership evolved: how generative AI empowers advisors with ‘creative intelligence’

Financial leaders across the globe are watching client expectations shift. People now look for guidance that blends insight with personal meaning. Many turn to digital tools because advice feels immediate, conversational, and tailored to their goals. This shift explains why financial institutions continue to expand their use of robo-advisors and intelligent planning platforms.

Executives recognise this momentum across the industry. Research shows that 97% believe GenAI will transform their industry, and 93% say their GenAI investments already outperform other strategic priorities. This confidence signals a wider move towards the AI financial advisor, which leverages tools that learn from human behaviour rather than only market patterns.

Understanding these motivations helps institutions design solutions that blend human judgment with machine intelligence. It also paves the way for stronger human-AI collaboration in advisory services, deeper personalisation, and better outcomes with AI-powered advisor decision support. At the centre of it all sits a new idea: creative intelligence.


AI-powered creative intelligence in financial advisory services

Creative intelligence brings imagination, interpretation, and contextual reasoning into financial advice. Traditional approaches rely on structured inputs and rigid models. Creative intelligence, on the other hand, draws from broader insights, including market shifts, client emotions, life events, and personal aspirations, to craft strategies with more nuance. GenAI strengthens this by extending an advisor’s capacity to spot patterns, model scenarios, and communicate with clarity.

In this environment, generative AI (GenAI) for financial advisors turns raw data into meaningful recommendations, helping teams deliver high-value, client-centric services. When combined with human experience, it creates an advisory model that is more adaptive and more relational and offers benefits like:


advanced financial strategy creation

Reimagine Advisory Intelligence with Infosys BPM

Reimagine Advisory Intelligence with Infosys BPM

Creative intelligence strengthens every part of financial strategy creation by helping advisors move beyond rigid, model-driven thinking. Generative AI for financial advisors enhances planning by running multi-scenario simulations that reflect changing life events and market dynamics. It supports smarter portfolio optimisation by adjusting allocations based on evolving risk profiles and behavioural signals.

Predictive insights become sharper as AI detects patterns across datasets that humans may miss. Advisors also gain clearer estate and tax planning support, making long-term decisions easier to explain and more aligned with client goals. This combination of human interpretation and AI-powered advisor decision support creates strategies that feel more tailored, intuitive, and resilient.


strengthened relationship management

AI-powered creative intelligence reshapes the advisor-client relationship by improving how professionals listen, respond, and anticipate client needs. Intelligent CRMs use contextual cues to help advisors tailor conversations and stay connected through timely, personalised interactions.

Automated communication keeps clients informed through natural-language updates that maintain a human tone without adding workload. Meeting transcription and note-taking tools capture details accurately, allowing advisors to focus fully on the person in front of them. Together, these capabilities enhance human-AI collaboration in advisory services, enabling richer relationships grounded in trust and continuous engagement.


enhanced risk, compliance, and security

A creative intelligence approach also elevates oversight by shifting compliance and risk management from reactive to proactive. GenAI systems continuously monitor transactions, documents, and communications to identify anomalies or potential regulatory gaps early. Advisors receive clearer risk evaluations, with models that consider both quantitative exposure and contextual factors.

Security improves as AI flags unusual access patterns and supports safer data workflows. These capabilities reduce operational burden and strengthen governance without slowing advisory processes, helping AI financial advisors maintain accuracy, transparency, and accountability.


streamlined practice operations

Creative intelligence simplifies practice operations by reducing administrative work and accelerating workflows. GenAI automates document handling, summarisation, and classification, making information easier to retrieve and share. Data analysis becomes faster and more intuitive, helping advisors prepare for meetings and respond to client questions with greater clarity.

Operating models gain efficiency as repetitive tasks shrink, and teams focus on higher-value advisory work. This creates a more capable digital ecosystem where human-AI collaboration in advisory services improves productivity while protecting the advisor’s role as a strategic partner.

Infosys BPM helps financial institutions unlock the potential of generative AI for financial advisors through domain-led design, responsible AI frameworks, and a strong focus on ethics. Its generative AI solutions and offerings support creative intelligence by reimagining advisory operations, enhancing decision-making, and enabling a unified human-plus-AI approach.


fostering a creative environment for human-AI collaboration in advisory services

A creative culture ensures that GenAI strengthens, not replaces, the advisor’s role. The following strategies help teams adopt technology confidently and responsibly.

  • Cross-disciplinary collaboration: Mix financial experts, behavioural scientists, technologists, and designers to create well-rounded advisory models.
  • Safe space for experimentation: Encourage pilots, prototypes, and rapid iteration, helping advisors gain comfort with new tools and new ways of working.
  • Continuous learning and development: Equip teams with training on GenAI, behavioural finance, and ethical decision-making so they can use automation thoughtfully.

This environment ensures that advisors remain central to client relationships. GenAI augments their capability, enabling more efficient, insightful, and human-focused advisory services.


conclusion

Generative AI for financial advisors is redefining how they understand clients, model strategies, and deliver meaningful guidance. Creative intelligence adds the nuance and imagination needed to turn complex data into trusted advice. As institutions adopt new digital capabilities, the partnership between humans and machines will become more collaborative, more responsive, and more valuable for clients seeking clarity in a complex financial world.


Frequently asked question


  1. What is “creative intelligence” in financial advisory, and how does GenAI enable it?
  2. Creative intelligence is the blend of data, context, and imagination in advice, where GenAI helps advisors interpret markets, life events, and client emotions to shape more nuanced, goal-aligned strategies.


  3. How does generative AI for financial advisors improve strategy creation and planning?
  4. GenAI runs multi-scenario simulations, refines portfolios based on changing risk and behaviour, and supports tax and estate planning, helping advisors move from static plans to dynamic, adaptive strategies.


  5. In what ways does GenAI strengthen advisor–client relationships?
  6. GenAI powers intelligent CRMs, personalised communications, and automated meeting notes, so advisors can stay more present with clients while maintaining timely, relevant, and human-sounding touchpoints.


  7. How does an AI-powered advisor model enhance risk, compliance, and security?
  8. AI continuously scans transactions, documents, and interactions for anomalies, highlights regulatory gaps, and flags unusual access patterns, enabling earlier issue detection without slowing advisory work.


  9. What should firms prioritise when adopting GenAI to build a human–AI partnership in advisory services?
  10. They should emphasise governance and ethics, explainability, cross‑disciplinary collaboration, advisor training, and operating models where AI augments—not replaces—the advisor’s judgment and client leadership.