Marlabs is reimagining its own operations with Microsoft 365 Copilot and Copilot Studio before advising clients to do the same. The company has rolled out Copilot across business functions and built a set of internal agents that streamline everyday work.

Key examples and results include:

• Virtual HR agent: Built with Microsoft Copilot Studio, this agent unifies multiple HR systems into a single conversational experience. Employees can apply for leave, check policies, and resolve HR questions in seconds. This has:
  • Reduced HR response times by more than 60%
  • Eliminated the previous help desk system
  • Shifted 80% of HR queries to the Copilot agent
• Onboarding agent: A dedicated agent for new hires that automates common onboarding tasks and information requests, saving around three days per new employee.
• Operational agents: Additional agents now support approvals, contract reviews, proposal creation, and surfacing financial and operational data.

These internal wins form the basis of AgilityAI, Marlabs’ enterprise AI transformation suite. By using Copilot and Copilot Studio at scale internally, Marlabs builds firsthand expertise it can apply when guiding clients through their own AI‑first journeys, particularly in regulated industries like financial services and life sciences.

Marlabs has embedded AI into both its engineering and knowledge-work processes, using GitHub Copilot and Microsoft 365 Copilot to reshape how teams work and deliver value.

For software engineering (GitHub Copilot):

• GitHub Copilot is now described as foundational to Marlabs’ engineering lifecycle.
• Developers are working about 20% faster, with a noticeable uplift in code quality.
• This improvement has enabled Marlabs to design new solution offerings for clients, especially those with strict security requirements, where GitHub Copilot’s built-in protections and data loss prevention are key differentiators.

For knowledge work (Microsoft 365 Copilot):

• Employees use Copilot for document summarization, email drafting, research, and proposal development.
• After a series of adoption workshops co-delivered with Microsoft India, Marlabs recorded a 56% productivity gain across the organization.

Client-facing impact:

• Marlabs now typically includes a 20% cost savings in proposals for work that uses AI.
• Clients are encouraged to reinvest those savings into additional strategic AI initiatives, creating a continuous improvement loop.

In practice, this means Marlabs is not only improving its own efficiency but also using those learnings to help clients adopt similar tools, achieve comparable gains, and fund further AI projects from realized savings.

Marlabs is modernizing its delivery engine with Microsoft Dynamics 365 Project Operations, tightly integrated with Copilot and Copilot Studio, to create a more unified and AI‑driven way of running projects.

Key elements of this approach include:

• Unified system of record: Dynamics 365 Project Operations centralizes project timelines, resources, financials, and performance data into one AI‑powered system of truth.
• Deeper operational insights: With Copilot embedded, Marlabs expects richer insights into delivery performance, enabling better forecasting, risk detection, and decision-making.
• Integration with Copilot Studio agents: The platform will connect with Marlabs’ growing ecosystem of agents (for approvals, onboarding, HR, proposals, etc.), enabling AI‑driven workflow automation across the full project lifecycle.

Looking ahead, Marlabs is working toward a “one AI as the UI” vision—a single conversational interface that can tap into specialized agents and systems like Dynamics 365, GitHub Copilot, and Microsoft 365 Copilot. In this model, users interact through one AI layer that surfaces data and insights from across the company, reshaping how projects are planned, executed, and optimized.