AI agents for professional services teams: Why trust matters

Professional services firms run on trust. Clients share sensitive information, rely on expert judgment, and expect consistent delivery. Behind that trust is a lot of operational work, though, covering everything from client intake to status updates, resource planning, scope tracking, invoicing, and support.

Now AI agents can execute much of that work autonomously. An agent in this context is artificial intelligence that initiates and completes tasks on its own, rather than just delivering responses or suggesting next steps. Many professional services (PS) organizations have agents already in place, triaging incoming requests, routing assignments based on capacity, drafting client status reports, and flagging potential risks before they turn into costly errors. 

But your clients trust you, not your AI agents. How do they know their information is safe? Can they be sure the agent won’t act against their interests? Is there a traceable chain of command and an activity monitor that will meet current or future compliance requirements?

The breakneck speed of AI adoption means it’s easy to forget, but the fundamentals still matter. And in the world of professional services, that means trust. Let’s look at three steps to building AI agents you can stand behind.

1. Start with the infrastructure 

Earlier this year, a survey from Thomson Reuters found that 15% of PS organizations are already using agentic AI, with 53% more planning for adoption. Interestingly, firms in the corporate tax and corporate risk fields demonstrated the highest rate of current adoption, while those in government ranked lowest.

The reality is that much of this adoption is happening in a haphazard way, through disconnected tools, personal accounts, and ungoverned integrations. That has led to a Wild-West scenario where agents are working within sensitive environments with none of the controls you’d apply to a human team member. No role-based access. No audit trail. No accountability. 

Ad-hoc adoption like this is potentially dangerous, especially when mishandling data can spell disaster for a company’s reputation (and budget). This is why firms should stop bolting agents onto disparate tools and instead seek out established, proven workflow management software that comes with built-in agentic AI and globally trusted governance. 

At Wrike, this includes:

• Transparent reasoning: You get to see exactly what the agent is doing — and why.
• Testing environment: Get agents fully functioning and optimized before going live.
• Enterprise oversight: Keep agent activity admin-controlled.
• Simple scalability: Roll agentic AI across thousands of work items in seconds.
• Total visibility: Track, audit, and record every AI action in one place.

This way, you don’t have to devote time, effort, and resources to building guardrails and audit trails — it’s already there for you. 

2. Build trust with three fundamental foundations

A lot of AI chatter is hype: lofty promises and vague use cases. If you pare that all back, the basics are quite simple. For agentic AI you can trust, you need three things.

• Context that equips agents with real knowledge: Agents that aren’t connected to workflows are operating blindfolded, guessing what you need. Wrike’s Work Intelligence Graph is a living map of how work actually happens in your organization, based on more than 500 billion historical data points ranging from the way you assign tasks to common risks and average project durations. Agents draw on that structured context to complete intelligent, relevant tasks fast — rather than generating generic outputs that don’t move the needle.
• Control that logs every action: If you want to truly protect your company and your clients, every AI-driven action needs to be permission-scoped, logged, and fully traceable — even years later. In Wrike, AI operates under the same roles, permissions, and access controls as your people. That means every action is auditable across the same enterprise-grade security infrastructure that 20,000 global organizations already depend on.
• Collaboration that keeps humans in command: Agents aren’t good at processing nuance, considering ethics, and navigating sensitive conversations — all reasons why clients hire lawyers, accountants, and advisors in the first place. Wrike’s collaborative stack gives people effective ways to delegate work to AI agents, review what they produce, and stay in command of every outcome. That way, your services stay human-led, while your admin is outsourced to AI.

These three factors combine to create a failsafe way of growing with AI. Governance earns autonomy. Autonomy enables scale. And scale is what happens when you can work without limits. 

3. Don’t rely on one-size-fits-all

If you’ve ever onboarded new team members, you know that the better the training, the better the results. It’s the same with our agentic coworkers: we have to spend the time setting them up correctly.

You can get started quickly with off-the-shelf agents that handle common tasks. Here are a couple of our customers’ most effective use cases:

• Agent for intake and request validation: Manage submissions, query incomplete requests, and automatically analyze opportunities. 
• Agent to triage tasks: Classify incoming requests by type and automatically assign them to the right team or owner.
• Agent to flag risks: Scan for issues, highlight them to the relevant stakeholders, and prevent costly delays or compliance problems.
• Agent to manage project ops: Push sprints forward, roll over work, update statuses, and generate summaries automatically.
• Agent to auto-assign at scale: Reassign hundreds or even thousands of tasks based on logic, context, or direction.

Wrike’s AI Agents are like adding other team members. We’ve automated intake across multiple departments, saving hours every week and accelerating how quickly our teams can respond to internal and client requests.

James Ball, VP of Project Management at Jellyfish

These are all great starting points. The real value, though, is in building custom agents tailored to your firm’s specific workflows, client requirements, and compliance obligations.

A boutique accounting firm serving small businesses will need different agent behaviors than a global managing consultancy delivering multi-year transformation programs. The agent should fit the work, not the other way ’round. 

Creating your own agent doesn’t have to be daunting. With Wrike, you only have to enter a couple of lines about what you need — in normal language, like you’re talking to a coworker — and watch our Agent Builder do the rest. 

See how other organizations put agents to work

Every day, millions of people around the world wake up and log into Wrike. They include team members from NVIDIA, Walmart, Siemens, Arvig, Ogilvy, and Edelman.

Many of these teams are working side-by-side with agents, and seeing big results already:

• 10 hours saved per week, per user
• 14 times faster sprint management
• 6,500 workdays saved per enterprise organization

For professional services organizations, this can have a ripple effect that improves customer satisfaction. When technology company BigCommerce joined Wrike, they halved their reporting time, built custom workflows, and gained “crucial” data-driven insights that allow them to “truly make informed decisions.”

Here are some of the ways teams are slashing their time spent on admin:

• Idea intake and scoring: 3.5 hours of work now takes 15 minutes
• Sprint management: 15-minute tasks now take less than a minute
• Automated task reassignment: This saves more than 100 hours annually
• Intelligent agent management: 1 agent can replace 30 automations

AI agents can take on a significant share of the operational work that slows you down. But only when those agents function within a system that centers context, collaboration, and control. Wrike can provide that infrastructure, while you provide the service.

If you want to see up close how AI agents can transform your professional services team or organization, schedule a demo with our team. We’ll walk you through how to preserve the things that make you valuable — like expertise and accountability — while taking full advantage of all the speed, accuracy, and competitive edge that AI agents can deliver.