At a glance
- How acting as client zero shaped our AI transformation.
- Five lessons that helped us move from pilots to firm-wide adoption—and how to apply them within your own organization.
- What’s next: advancing toward a human-led, agentic AI workforce.
The best way to understand transformation is to live it. Rather than waiting to see how AI would reshape the business landscape, we chose to lead by example, becoming our own first AI customer—what we call client zero.
Our AI journey wasn’t just a reaction to a technological shift, but a strategic decision to set the standard and elevate our people. As a $1-billion firm of 5,000 professionals and market-leading capabilities across a broad range of services, this was no small undertaking. What anchored our success was staying grounded in who we are: practical, technically strong, people-centred, and outcome-focused.
It’s this foundation that shapes our AI Vision 2030 and underpins our continued evolution towards a human-led, AI-embedded future where technology augments professional judgment and helps our teams and clients thrive and do more together.
How to implement AI in business: Five success factors
Being client zero means we’ve lived the cultural change, tied AI adoption to tangible outcomes, and established the governance needed to support AI in practice as we move from literacy to enterprise AI solution capability to agentic ways of working. Along our journey, we learned five lessons that became foundational to our success and can now serve as a practical lens for organizations to succeed on their own AI journeys.
Lesson 1: Start with strategy, alignment, and literacy
AI solutions only deliver true value when they are aligned to enterprise strategy, owned by leadership, and adopted by workforce equipped to use them effectively.
Too many organizations start with disconnected pilots that are interesting, but never reach production because they lack a shared definition of value, a consistent approach to risk and controls, and an operating model for scaling.
In 2023, well before AI became mainstream in the business landscape, we built a structured, enterprise-wide approach that brought strategy, alignment, and literacy together.
As client zero, we learned that early alignment is the difference between surface-level momentum and measurable impact. Before scaling use cases, leadership needs to align on where AI creates advantage, which outcomes matter, what guardrails apply, and how decisions are made.
From there, we confronted a practical reality: AI fluency across our people was uneven. We responded with differentiated AI capability programs—from crowdsourcing to targeted bootcamps—that reflected varying levels of AI fluency while building a shared AI foundation to support scaling toward more agentic ways of working.
This sustained investment back into our community of professionals strengthens our ability to attract and retain forward-looking talent, and builds the resilience required to lead through the next wave of technological transformation.
Snapshot: Crowdsourcing at BDO
Our intentional approach changed performance and the value we bring to our client engagements. As alignment and literacy increased, teams began redesigning workflows around AI-enabled research, synthesis, drafting, and quality control. Outputs became more consistent. Professionals were able to provide higher-value analysis and advisory dialogue, and pass on the value to our clients.
As technology evolves, we continue to measure, train, and upskill at scale, ensuring our people’s AI literacy keeps pace with change and sustains a culture of curiosity. It’s a critical step for any organization aiming to move beyond experimentation.
Lesson 2: Culture change is the real transformation
AI transformation is as much a behavioural initiative as it is a technological one. New tools demand new habits, workflows, and greater comfort with experimentation. This includes normalizing failure as part of learning and reinforcing the psychological safety required to explore AI.
More importantly, the shift is redefining how our people work day to day. AI is not a parallel capability operating on the sidelines, but is becoming embedded in core workflows, decision-making, and client delivery.
Our conviction is that intelligent systems exist to augment human capabilities, not replace them. This philosophy drives our Innovation & Change (I&C) team as we build human-led AI solutions focused on delivering value and actioning tasks. Our I&C practice is the backbone of our transformation, driving AI change management and proactively looking for ways to improve our internal operations through contemporary technology solutions.
Transformation takes root when leadership models the behaviour we're asking others to adopt. At BDO, our culture shifted because people felt supported through the change, both by the structured guidance of our I&C team and by leaders who visibly championed responsible use.
Lesson 3: AI governance is a shared commitment
Governance isn’t a barrier—it’s a backbone. Embedding AI governance and responsible AI practices from the start builds credibility, trust, and resilience, and makes integration smoother than trying to retrofit governance after adoption has already begun.
In our own journey, building AI safely and responsibly didn’t slow us down, but gave us the clarity, confidence, and structure to scale faster and with purpose. It set clear expectations for how our people engage with AI, anchoring experimentation in accountability and embedding human oversight into everyday decision-making. It also ensured that we are upholding our client commitments to privacy, security, and information management.
We structured responsible AI into our journey through a Responsible AI Policy and AI Code of Conduct, establishing clarity around acceptable AI use, accountability, transparency, and human oversight without slowing momentum. These policies integrate with other firm-adopted frameworks like ISO 42001 , an AI management system standard, and are in constant re-evaluation as technology shifts.
Responsible AI at BDO is a firm-wide commitment that builds trust internally and externally. We’ve built cross-functional teams to oversee AI deployments, and monthly governance meetings ensure legal, regulatory, and ethical oversight is embedded in every deployment.
Lesson 4: Collaboration is the engine of AI enablement
Organizations will not succeed with AI by picking a single tool and locking in. Building a partnership ecosystem is what turns technology into real outcomes, integrates best-in-class platforms, and enables co-innovation where it matters most.
At BDO, the success of our AI initiatives emerged through a coordinated network of cross-functional collaborators and external partners in relentless pursuit of solving complex business challenges with bold, transformative ideas.
We’ve established strategic partnerships with technology leaders to integrate advanced capabilities and ensure we remain at the forefront of industry trends and best practices.
Strategic alliances help you translate platform capabilities into real-world outcomes, accelerate institutional learning, and create structured pathways for co-innovation. Having a broader set of partnerships with industry leaders allows BDO to meet clients where they are at on their AI journey.
Lesson 5: Co-creation at scale turns experimentation into impact
Transformation accelerates when business and technology move as one.
As capabilities mature, service line practitioners work alongside technical data and AI professionals to co-design trustworthy, practical, and production-grade solutions that reflect real service-line complexity. This approach enables a faster path from emerging capability to real-world application, and a more agile response to disruption.
BDO Boost, our in-house long-context language model, brings this approach to life. What began as a response to a clear business need—a custom, secure way of using generative AI to extract insights from confidential long-form documents—evolved into a firm-wide platform serving thousands of our professionals.
Boost demonstrated that our investment in AI literacy could translate into purpose-built solutions engineered internally, deployed at scale, and applied across client engagements to elevate impact. By moving methodically from pilot to rollout, measuring what mattered, and investing in enablement alongside deployment, we avoided the proof-of-concept trap that halts so many AI initiatives. Purpose, not novelty, is what turns experimentation into impact.
BDO Boost: Metrics that matter
To validate Boost’s impact, we conducted a user survey across our early adopters spanning multiple service lines and business units. The results confirmed strong engagement and gave us the proof points we needed to continue scaling:
The next phase: Our agentic AI workforce
The pace of AI is fast and furious, and this is exactly why we’ve built the muscle to evolve with it.
Our first wave of AI adoption focused on literacy and embedded usage. Our second wave institutionalized AI through engineered platforms like Boost. Now, we’re applying that foundation to fundamentally redesign how work flows across the firm. Repeatable tasks shift to AI agents. Consistency scales. Governance strengthens.
This is the next frontier in our AI Vision 2030: the hybrid agentic workforce.
Keeping AI governance and responsible AI practices at the core, Helix is being engineered for full auditability and measurable performance, aligning with ISO 42001. We’re also establishing a firm-wide agentic AI governance standard that embeds risk and controls into every stage of the agent life cycle.
Our AI journey has made us one of Canada’s leading professional services firms in AI enablement that’s grounded in real outcomes. It’s a testament to what’s possible when innovation is guided by curiosity, accountability, and vision. As client zero, we’ve earned the credibility to anticipate change, lead by example, and shape a human-led, AI-embedded future.
From AI vision to value, together
Combined with our Data & AI services, our client-zero experience in AI has given us deep insights into the challenges, opportunities, and pitfalls around AI adoption—from experimentation to full-scale execution. Impact happens when we do more together, moving beyond the proof-of-concept stage to practical AI solutions that boost productivity, performance, and employee engagement.
As early adopters of AI, we’ve faced the same bold bets and inflection points you’re navigating today. Visit our AI hub to explore our AI Vision 2030 and discover how we help organizations turn the lessons of past transformations into a sharper, more value-driven model of work.