Three engagements, sold separately on purpose. If you already know which process to automate, start with the build. If you do not, start with the audit, which is priced standalone so the recommendation is not shaped by what we would like to be hired for next.
Most automation breaks at the first exception. A rule-based flow handles the invoice that looks like every other invoice, then stops dead on the one that does not. Agentic workflow automation is different in one specific way: the system reasons about the input instead of pattern-matching it, so the awkward cases stay inside the automation rather than landing back in somebody inbox.
You might recognise
A person copies data between two systems that will never be integrated.
Your existing automation covers the easy 70% and a human mops up the rest.
The process is documented, followed inconsistently, and nobody can say why.
The expensive mistake in AI automation is not picking the wrong model. It is automating the wrong process: something visible and annoying rather than something frequent and costly. The audit exists to put a defensible order on the work before anyone writes code, and it is deliberately sold separately from the build so the recommendation is not shaped by what we would like to be hired to build.
You might recognise
Leadership wants an AI strategy and nobody can say where to start.
You have run pilots that demoed well and never reached production.
Different teams are buying different AI tools with no shared plan.
The Model Context Protocol is an open standard for exposing tools and data to AI applications. Practically, an MCP server is the difference between your team pasting exported spreadsheets into a chat window and their assistant querying the real system directly, with your permissions and your audit trail intact. It is the integration layer that makes everything else on this site possible.
You might recognise
Staff paste internal data into chat tools because it is the only way to use it.
Every AI tool needs its own bespoke integration with the same systems.
You want AI access to internal data without loosening who can see what.
Describe the process you want off your team plate. You will get a straight answer on whether agents are the right tool for it, including when they are not.