In many financial, banking, and insurance organizations (BFSI), CIOs don't lack technology or budget. What troubles them most is this: the technology (IT) and business teams don't speak the same language.
Each side views problems from their own perspective, so when they sit down together, it's easy to talk past each other: Business talks about revenue and customers; IT talks about systems, bugs, and backlogs. Neither side fully understands the other's priorities and challenges, so discussions often become tense and unproductive.
Over time, this leads to a common outcome: what was drawn up in the initial strategy often gets changed, cut, or misaligned during implementation. IT doesn't fully grasp the business intent, while Business doesn't understand technical constraints. As a result, IT is often seen as a cost center (just spending on operations, maintenance, and troubleshooting), rather than a partner in creating revenue, better customer experiences, and competitive advantage.
The root of the problem isn't people. It's how the organization structures and operates its system of work.
In BFSI, the gap between Business and IT is often larger than in other industries for three main reasons: strict regulations and controls, high security requirements, and complex core systems that are hard to change.
On the Business side, leaders usually set high-level goals, such as:
These goals are clear to Business, but when handed to IT, they often get translated into many small technical tasks: tweak this system, integrate that platform, add a report, fix a data flow, etc. Each task seems reasonable, but when pieced together, the original strategic picture gets lost.
Conversely, IT tends to report using technical metrics that Business finds hard to value: how many items are done, what percentage of features are coded, how many bugs have been fixed. A project reported as "90% technically complete" doesn't mean the business has received "90% of the expected value." Sometimes, the remaining 10% is what directly impacts customers or revenue.
This misalignment comes from:
This puts the CIO in a tough spot. The CIO understands Business pressures and goals but lacks a common language and system to connect the IT team with those strategic priorities.
Read more: Top 3 Reasons Why Teams Fail When "AI-izing" Their Workflows for a deeper look at how strategy and operations can diverge when adopting new technology.
In many organizations, Business and IT are like two parallel worlds: each has its own goals, language, and ways of working, leading to misunderstandings, delays, or difficulty measuring real impact. Atlassian's Teamwork Collection (TWC) was created to solve this problem, becoming the bridge that helps both sides collaborate more smoothly, transparently, and effectively than ever.
TWC creates a shared workspace where all business goals, initiatives, projects, and specific tasks are clearly visible, from leadership down to every team member.
For Business: When you open the system, you see all strategic goals, ongoing initiatives, real-time progress, and the impact of each project on big-picture objectives (e.g., increasing revenue, improving customer experience).
For IT: You see which tasks need prioritizing, dependencies, progress on each item, and, most importantly, how your technical work contributes to the organization's larger goals.
Real-world example:
A fintech company wants to launch a new product to boost quarterly revenue. In Jira, the goal "Increase Q2 Revenue" is linked to the initiative "Launch Product X." From there, all departments (Business, Marketing, IT, Product, etc.) plan, break down tasks, track progress, and update results in the same system. When leadership asks, "Where's the project at?", they simply open the integrated Teamwork Collection tools to see the full picture, no need to chase down each department.
The standout feature of Teamwork Collection is its integration with Rovo, a next-generation AI assistant designed for every department. Rovo AI understands your business context, market, and each specific workflow.
Understands business and market context:
With Teamwork Collection, Rovo can grasp your organization's context, goals, data, and unique processes. This means every suggestion, analysis, or support from Rovo is closely aligned with your real operations and business direction.
Easy to use, no coding required:
Anyone in the company, whether in sales, marketing, HR, or engineering can use Rovo naturally. Just ask a question or make a request, and Rovo will automatically find information, summarize data, or guide you through next steps without complex actions.
Create flexible AI Agents for every need:
Rovo lets you easily create AI agents, specialized assistants for each department or workflow. For example, you can have an agent for business report summaries, another for HR process Q&A, or one to help engineers quickly troubleshoot issues.
In summary:
With Teamwork Collection, Business and IT no longer need to translate between business and technical language. Everyone looks at the same system, shares the same goals, and focuses on the information relevant to their role.
Check out the demo video below to see how Rovo AI Agent connects business goals with real work in Teamwork Collection, helping every department collaborate effectively and maximize AI's power:
Rovo AI Agent Demo - Connecting Goals and Real Work
AI only adds value when placed correctly within the System of Work. For BFSI CIOs, the biggest worry isn't a lack of AI, but that AI could add noise and control risks. Atlassian approaches AI as a decision-support layer, not a replacement for people or a disruptor of existing processes.
AI helps synthesize fragmented data: from technical backlogs and operational incidents to customer feedback. Instead of the CIO having to guess and analyze reports, AI can clearly show how a specific system issue affects revenue or customer experience, or what risks a technical delay might pose to business plans and goals.
More importantly, AI in the System of Work helps close the communication gap between Business and IT. Business users don't need to understand technical details to ask questions, track progress, or assess risks. Conversely, technical teams don't have to translate everything into business language when reporting system or project status.
AI sits in the middle, automatically adding context to information: when discussing an incident or task, AI can suggest which goal it relates to, how it impacts customers or plans. This makes communication clearer and more focused. AI doesn't make decisions for people. It clarifies the surrounding picture so everyone can make smarter choices.
When a System of Work is implemented correctly, IT's role in BFSI changes fundamentally. IT is no longer just the team that takes requests and delivers, but a true partner with Business in creating value. The CIO can go beyond reporting system uptime or technical project progress, and discuss with the executive board how project outcomes contribute to business goals: what customers gain, how revenue and risk are affected.
This is especially important as BFSI faces constant digital transformation pressure, but cannot compromise on system stability, compliance, or security. A clear System of Work helps CIOs maintain balance: driving innovation and faster change, while ensuring risk control, safety, and regulatory alignment.
AI can't solve the misalignment between IT and Business if the organization lacks a clear, unified way of working. If workflows are fragmented and goals aren't linked to daily tasks, adding AI just creates more data and confusion, not better decisions.
On the other hand, when everyone knows what they're doing, for what goal, and information is recorded and shared in a unified system (the System of Work philosophy), AI can truly shine. It can summarize information, suggest priorities, flag risks, and help leaders and teams see the same picture and make faster, more informed decisions.
Read more: AI-Powered System of Work: Why AI Only Creates Value When Embedded in the Way We Work for a deeper dive into this concept.
Atlassian's approach is that the System of Work is the foundation for organizations to adapt as contexts change. AI is just an additional tool, not the center of everything. The key is to help people reduce repetitive work, see data more clearly, and focus on what matters most: real results for customers and the business.
BiPlus partners with BFSI organizations to design and implement Systems of Work based on the Atlassian Teamwork Collection (Jira, Confluence, Jira Product Discovery, Jira Service Management, etc.).
If you're looking for a suitable digital transformation solution, book a 1-on-1 session with BiPlus experts to discover how to apply AI and modern work tools effectively, tailored to your organization's real operations.
