Your specialist team for putting AI to work.
Strategists who prioritize by ROI. Solution Engineers who build and integrate agents. A method tested across dozens of deployments that gets entire operations running on AI agents, in weeks.
Companies already running with the AI Deployment team.
Healthcare, manufacturing, retail, education and financial services. Different operations, the same team deploying.
Access to AI got easy. Putting AI to work did not.
Today any company can subscribe to an AI model in 5 minutes. But turning that access into a running operation (agents connected to your systems, integrated into your processes, with governance in production) takes knowledge that almost no internal team has.
Traditional consulting
Expensive, slow and with no specialization in agents. It delivers a recommendation, not an operation.
Hiring an AI team
A scarce market and high cost. Building a mature in-house team takes around 12 months.
Open-source framework
Your team becomes an expert in a tool, instead of running your business.
AI Deployment exists for this. We do the work: a specialist team that combines technical depth, a productized methodology and command of your systems, delivering operations that run on the Runflow platform.
Three concrete deliverables. None of them is a slide.
This is not a discovery sprint, not a strategy deck, not a POC. AI Deployment delivers operations working inside your company, with the process, the tooling and the team ready to scale.
Agents in production
AI agents built and running real operations. This is not a prototype: it is a live operation, processing your company's day-to-day work.
With active governance from day one.ROI tracking
Continuous monitoring of the return each agent generates for your business. Regular analysis of where it is working, where to adjust and where it is worth scaling.
You always know how much each agent is generating.Continuous improvement cycle
The work does not end at go-live. Agents evolve with human feedback, and new processes enter the roadmap as ROI validates them.
Your operation gets smarter every month.What goes in is the name of your process. What comes out is the process running.
Three specialist profiles. One single outcome.
When you hire AI Deployment, this is the team that joins your company. Each profile with clear accountability, a defined moment to act and a specific role in the final result.
Client Manager
Accountable for your account at Runflow. Talks to your company's leadership, understands the business priorities and translates them into direction for the technical team. Keeps fixed follow-up cadences to review impact, align new scope and make sure the operation keeps evolving.
AI Deployment Strategist
Maps the processes in your operation, identifies where AI delivers the highest return and designs how each agent should behave. Defines success metrics, decision flows, human escalation points and governance rules, before a single line of code.
AI Solution Engineer
Develops the agents on the Runflow platform, integrates with your systems (ERP, CRM, internal APIs, databases), configures governance and observability and puts the operation into production. Monitors, adjusts and makes sure what was designed is running as planned.
Three profiles, three jobs, one single delivery.
Four phases. One repeatable path.
AI Deployment is not a bespoke service. It is a productized methodology, built on what worked across dozens of deployments. Each phase has a clear purpose, a defined format and a concrete deliverable.
Discovery
The Client Manager and the AI Deployment Strategist dive into your company's current operation. They map processes, interview stakeholders and identify where AI has the highest potential ROI. This is when you decide what comes first.
Build
The AI Solution Engineer goes to work on the Runflow platform. Develops the first agent on the roadmap, integrates with ERP, CRM, databases and internal channels, configures governance and observability. The Strategist follows along, tests and validates the behavior that was designed.
Go-live
The moment the agent starts operating day to day. The team monitors closely, adjusts what needs adjusting and makes sure the transition from the previous process to the agent happens without jolts. The people involved in the process are trained on how to work alongside the agent.
Expansion
With the first agent operating and delivering, the journey continues. The team refines what is already running with human feedback, moves into the next agent on the roadmap and keeps the strategic follow-up cadences. It is a continuous relationship, not a project with an end date.
The same methodology, repeatable from client to client. Customized only where it matters: your business.
You keep everything. Including the option to carry on without us.
An embedded team usually creates dependency. Here it is the opposite: what we build with you is yours from the first commit, runs wherever your governance says it should and keeps running if one day we step away.
The code is yours
Every agent, integration and prompt stays versioned in your repository, with diff and history. No black box, and nothing to license if you leave.
It runs where you say
On Runflow's managed cloud or self-hosted on your own infrastructure, with your keys and your model provider.
Your team operates it
Whoever works with the agent is trained during go-live, not in a handoff at the end. The operation starts out in your team's hands.
It becomes your template
Every solution delivered stays as a reusable template in your environment: the second agent of the same kind costs a fraction of the first.
A platform on its own becomes an idle license. A team on its own does not scale. At Runflow the two go together from day one. Staying is your choice, not a consequence of being locked in.
Your next operation in production starts with a conversation.
Our team talks through your operation, identifies where it makes sense to apply AI first and shows what can be delivered in weeks.