Avidia Bank has moved a broad range of banking operations onto Creatio following a six-month implementation, replacing a legacy environment with a unified platform spanning customer-facing and internal functions. The Massachusetts-based community bank says employee adoption has reached 86%, with the technology now supporting areas including commercial banking, customer service, marketing, HR and contact centre operations. Beyond the CRM consolidation itself, the project is becoming part of Avidia’s AI strategy, with the bank developing intelligent agents designed to give relationship managers a consolidated view of customer information before meetings.
A six-month shift away from fragmented operations
The implementation was undertaken with Technology Advisors and initially covered enterprise CRM, marketing, customer service, commercial banking and internal business operations.
Rather than treating the project solely as a technology replacement, Avidia conducted three rounds of user acceptance testing covering the employee experience, data integrations and migration from its previous CRM before expanding the platform across the organisation.
That approach appears to have contributed to relatively rapid adoption. According to Creatio, 86% of Avidia employees were using the platform within six months.
The figure is significant because CRM and workflow transformation programmes in banking often depend as much on employee adoption as the capabilities of the underlying software. Consolidating processes provides limited operational value if employees continue working through spreadsheets, email or disconnected applications outside the new environment.
Avidia’s wider technology strategy has already included investment in its customer-facing infrastructure. In 2024, the bank selected Q2 and Personetics as part of a programme to modernise digital banking and introduce more personalised, data-driven customer engagement.
One platform across multiple banking functions
Creatio is now being used across commercial banking, customer service, marketing, HR, contact centre operations and customer portals at Avidia.
The consolidation also gives management a common environment for monitoring areas such as sales pipelines and operational performance.
This represents a broader shift occurring across banking infrastructure, where institutions are looking beyond individual application upgrades towards reducing the number of disconnected systems involved in everyday processes.
For Avidia, the transformation is taking place at meaningful institutional scale. The bank reported approximately $2.84 billion in assets at the end of 2025 and operates a network of banking offices across Massachusetts.
The bank has also been pursuing a wider programme to simplify and modernise its operations. Previous initiatives have included digital banking modernisation and investments intended to strengthen data-driven decision-making across the organisation.
Platform consolidation creates the next AI opportunity
Avidia is now moving from workflow consolidation towards applying AI to specific employee activities.
One planned use case involves intelligent agents supporting Business Development Officers before customer conversations. Instead of employees manually searching across different records, the agent is expected to consolidate information including customer balances, deposits, active opportunities and recent interactions.
The objective is straightforward: give relationship managers the information they need before speaking with a customer without requiring them to assemble it manually.
This illustrates an increasingly important distinction in AI adoption in banking. Deploying an AI assistant is relatively straightforward compared with giving that system reliable access to the processes, permissions and information required to perform useful work.
A fragmented technology environment can make that considerably harder.
When customer information, workflow history and operational data are connected through a common environment, banks potentially have a stronger foundation for deploying AI agents that operate within defined processes rather than simply generating information outside them.
Avidia plans to extend AI-powered capabilities into additional service workflows following the initial relationship-management use case.
Agentic AI moves closer to everyday banking operations
Creatio has been positioning agentic AI as part of its broader financial services strategy, including a framework released earlier this year focused on helping banks identify appropriate use cases, operating models and governance requirements.
Avidia’s implementation provides a practical example of how that transition may develop.
Instead of beginning with autonomous AI and then attempting to connect it to fragmented processes, the bank has first consolidated workflows and customer information before introducing agents into specific activities.
For banks considering similar deployments, this sequence could prove important.
AI agents operating inside regulated financial institutions require more than access to a large language model. They need appropriate data, clearly defined permissions, auditable processes and controls governing what actions can be performed.
That makes the underlying operational architecture increasingly relevant to the success of agentic banking initiatives.
The competitive question for banks may therefore become less about which institution launches an AI assistant first and more about which has built the technology and data environment that allows AI to become part of everyday work.
What it means for the industry
- AI readiness increasingly starts below the AI layer. Banks with fragmented workflows and customer information may struggle to deploy agents effectively across operational processes.
- Employee adoption remains a critical transformation metric. Avidia’s reported 86% adoption shows why workflow design and user testing matter alongside technology selection.
- CRM platforms are expanding beyond traditional sales functions. Banking implementations increasingly connect customer service, operations, marketing and internal workflows through common environments.
- Relationship banking could become an early agentic AI use case. Automatically preparing customer context can reduce administrative work without removing the human relationship manager.
- Platform consolidation may become part of banks’ AI strategies. Simplifying the application environment can create the data and workflow foundation required for more advanced automation.
Article Source: Creatio
