Most AI doesn’t fail because the technology doesn’t work. It fails because nobody thought through how it would fit into the business, which platforms to use, what processes to design around it, how to keep it safe, how to make sure the team can actually run it. Implement is the work of applying the thinking, choosing the right tools, designing the right workflows, getting the governance right, and making sure what gets put in place is something your business can actually operate.
Usually one of these is happening:
Implement is more about choosing well and designing well than it is about building from scratch. The first job is usually clarifying what shouldn’t be built, what’s available off the shelf, what’s already in your stack, what can be solved with the right configuration of existing tools rather than custom work. The second job is designing how the AI fits with everything else: the processes, the people, the existing systems, the governance the business needs.
Every engagement is shaped to what you’re trying to do. Some are focused: a single capability, say, an internal AI assistant or a customer-facing agent, chosen, configured, deployed, and handed over to your team within a few weeks. Some are broader: integrating AI across multiple processes, with the platform decisions, governance design, and workflow redesign that goes with it. Some are about putting things right: cleaning up a sprawl of AI tools that grew organically, replacing them with something coherent.
What we always cover: platform and vendor selection on your terms. Workflow and process design around how the AI actually fits with your team. Governance, safety, privacy, and compliance — done deliberately, not as an afterthought. Documentation and capability transfer so your team can run what’s been put in place. Where genuine custom build is needed, we do that too — but only where off-the-shelf won’t do the job.
Implement is priced project-by-project, depending on scope, timeline, and complexity. Smaller focused engagements are usually fixed-price. Larger projects use a mix of fixed-price phases and time-and-materials work where the scope is genuinely uncertain at the start. Industry complexity is the variable; regulated industries with stricter governance, security, or compliance requirements work differently from less-regulated ones, and the pricing reflects that.
