Financial services leaders are navigating an environment defined by rising client expectations, regulatory intensity, margin pressure, and accelerating change. In that context, clarity around where and how to invest has never been more critical.
Alithya’s recent financial services survey points to a clear conclusion: AI is the top technology investment priority through 2026, with 35.7% of respondents ranking it as their number one focus, ahead of cloud platforms, data initiatives, and traditional automation. The findings reinforce what many executives already sense, AI is no longer experimental. It is now central to competitive advantage.
You can explore the full findings in our survey report here: Alithya Financial Services Survey Report.
The more pressing question is not whether to invest in AI, but how to deploy it in a way that delivers measurable value without introducing new risk.
From AI capability to agentic AI in execution
Machine learning remains foundational, but predictive models and analytics alone no longer define how leading institutions are applying AI at scale. What we are seeing across the industry is a shift from insight generation to execution enablement.
Agentic AI represents this next phase. These systems are designed to:
- Interpret context across multiple systems and data sources
- Make recommendations (and in some cases, decisions) within defined business, risk, and regulatory guardrails
- Trigger actions and orchestrate downstream steps
- Learn continuously from outcomes to improve performance over time
For financial services organizations, where value chains span multiple functions and manual handoffs introduce delay and inconsistency, agentic AI enables end-to-end execution rather than isolated point solutions. The result is faster outcomes, greater consistency, and reduced operational friction, without relinquishing control.
Where AI is delivering the greatest business value
While priorities vary by business line, several high‑impact patterns are emerging consistently across financial services.
Improving client and advisor experiences
AI is increasingly being applied to augment, not replace, frontline teams by:
- Supporting intelligent onboarding and Know Your Customer (KYC) processes
- Delivering timely, contextual insights and recommendations to advisors
- Accelerating resolution of routine service interactions
Here, AI’s role is not automation for its own sake. It is about removing friction, enabling professionals to focus on higher‑value decisions, client relationships, and advice that differentiates the institution.
Governed workforce acceleration
One of the most immediate, and often undervalued, opportunities lies in accelerating workforce readiness while maintaining strong governance.
Agentic AI enables:
- Role‑based, in‑workflow guidance: Step‑by‑step assistance embedded directly into the tools analysts, advisors, and operators already use helps teams execute processes correctly from day one, with built‑in controls and guardrails to ensure compliance.
- Just‑in‑time knowledge execution: Retrieval and application of approved policies, procedures, and playbooks in context, with citations and traceability reduces reliance on memory, manual searches, or informal workarounds.
- Continuous quality and compliance reinforcement: Real‑time identification of missed steps, enforcement of required controls, and microadjustments as policies change shorten time to proficiency while improving consistency and reducing risk.
This is not about generating training content. It is about embedding institutional knowledge directly into daily execution, making people faster, more consistent, and more compliant by design.
Strengthening risk, compliance, and operations
Some of the most compelling AI applications are emerging where speed and accuracy must coexist:
- Continuous transaction monitoring, anomaly detection, and fraud prevention
- Automated interpretation of policies and evolving regulatory requirements
- Intelligent issue triage and escalation across lines of defense
By embedding intelligence directly into operational workflows, organizations can respond faster to emerging risks while maintaining transparency, auditability, and regulatory confidence.
Accelerating technology adoption and delivery
AI is also reshaping how technology organizations deliver change:
- Automating testing, validation, and environment checks
- Identifying incidents and root causes earlier
- Coordinating complex dependencies across systems
These capabilities help reduce delivery cycles and operational drag without compromising stability, which is an increasingly critical advantage as change becomes constant rather than episodic.
Cybersecurity remains a top priority through 2026
Alongside AI, the survey underscores another clear signal: cybersecurity remains one of the highest investment priorities through 2026. This dual focus reflects a fundamental reality for financial services leaders: innovation cannot come at the expense of resilience.
As AI systems become more capable and autonomous, organizations must ensure that:
- Security and compliance are embedded into delivery pipelines
- Risk controls scale alongside automation
- Faster execution does not introduce new vulnerabilities
When designed responsibly, agentic AI can reinforce security objectives by automating controls, improving visibility, and reducing manual points of failure rather than adding risk.
Why speed without bottlenecks is now a differentiator
Leading institutions are not choosing between speed and governance. They are redesigning operating models so governance is embedded from the start.
AI investment is increasingly focused on:
- Eliminating manual handoffs that slow decision making
- Embedding compliance and security directly into workflows
- Enabling faster execution with greater confidence and predictability
In this context, agentic AI becomes a mechanism for scaling execution without scaling risk.
Financial services focus for 2026: secure and practical agentic AI adoption
The survey makes one thing clear: AI sits firmly at the top of the financial services investment agenda through 2026, with cybersecurity close behind. The real opportunity now lies in how those investments are applied.
Agentic AI represents a practical next step to help financial institutions simplify complexity, accelerate execution, and deliver better outcomes while maintaining trust.
We are proud to work alongside financial services leaders as they navigate this shift, turning AI ambition into measurable, real‑world impact.
How Alithya helps financial institutions turn AI investment into impact
We partner with financial services organizations to translate AI investment into sustainable business outcomes. What we see mirrors the survey findings: executives are not looking for disconnected tools, but for AI that operates within real workflows, respects regulatory constraints, and delivers value at scale.
We help clients:
- Move from AI strategy to operational execution
- Design AI systems with governance, security, and explainability by default
- Accelerate delivery without creating new bottlenecks across IT, risk, or the business
Contact us to learn how Alithya supports financial institutions in advancing AI across operations, risk management, and technology delivery through pragmatic, controlled applications of agentic AI.