Faster Time to Value
Launch your first AI workflow agent within 4 weeks.
AI Workflow Agents
Build your customised AI workflow agent that will cut manual work and increase productivity within weeks, while keeping humans in control.
Benefits
Most teams lose their week to the same repeatable steps. We turn one of them into a working AI workflow agent, so business workflow automation starts returning hours within weeks rather than after a long build.
Launch your first AI workflow agent within 4 weeks.
Repetitive steps get handed off to your agent, which works across the tools that your team is currently using.
Every workflow includes approval checkpoints, so nothing gets shipped off without your approval.
Monitor the hours and effort that your team saves as the AI agent automates more of your daily workflow.
Why AgentForger
Off-the-shelf tools automate generic tasks. We build around how your business actually operates, so your AI workflow agents fit your systems, your data, and your rules from day one.
Build custom workflow agents tailored to your exact operations, seamlessly integrating your internal systems, data, and business logic.
Enable human review and guardrails within your AI workflows to prevent errors, ensure accuracy, and build complete operational trust.
Secure your agent ecosystem with user roles, fine-grained permissions, SSO integration, and strict data privacy controls.
Get dedicated AI experts, hands-on training, and forward-deployed engineers to bring your automation roadmap to life with speed and confidence.
Deploy enterprise-grade agents that are backed by industry-standard compliance and enterprise models.
FAQ
A custom-built system that takes over a specific, repetitive process for your team — pulling from your existing tools, completing the steps, and handing off for approval where needed.
No. AgentForger designs, builds and deploys the agent for you. Your team will be interacting with it through the tools that you are currently using.
The seven commonly recognised types are simple reflex agents, model-based reflex agents, goal-based agents, utility-based agents, learning agents, hierarchical agents, and multi-agent systems — ranging from agents that just react to their environment through to systems that coordinate multiple agents together. AgentForger's workflow agents are built as goal-based, tool-using systems with memory, designed around a specific business process rather than general-purpose use.
The 30% rule is an informal industry guideline suggesting AI should handle around 70% of a process — the repetitive, well-defined parts — while people retain roughly 30% for judgement, exceptions, and sign-off. It's a rule of thumb, not a fixed law, and it lines up with the same principle behind AgentForger's approval-controlled agents: automate the repeatable work, keep a human accountable for the parts that need it.
AI agents can take on multi-step workflow tasks: pulling data from your systems, completing repetitive steps like data entry or drafting, and routing the result to a person for approval. Rather than replacing a whole process, an agent typically owns one well-defined workflow from start to end, connecting the tools that your team has been using.
Explore more
Start with one workflow