Build
Agent logic, tools, integrations, tests, interface, and documentation.
Custom AI agents · Complete service
AI agents built foryour workflowManaged after launch
FollowAI turns a defined company goal into a working agent: scoped around your rules, connected to your systems, limited by explicit permissions, and improved as the business changes.
Agent lifecycle / one accountable path
01Define the goal
02Map the real work
03Build and connect
04Set the boundaries
05Launch with your team
06Manage and improve
Managed after launch when you want it
What you are buying
A complete product shaped around your intent
You define what it should accomplish, what it may do, how it should communicate, and where people stay in control. We design, code, connect, test, launch, document, and—if you want—support the working system.
Control
Permissions, approval gates, escalation, limits, and named ownership.
Operate
Monitoring for failures, quality drift, usage, and vendor or workflow changes.
Improve
Prompts, rules, integrations, and scope updated when the evidence supports it.
Modern agent stack
Current toolsChosen after the job is clear
FollowAI works across current agent platforms and deployment models. The choice follows the work, permissions, privacy, and operating environment—not a fashionable logo.
OpenAI Codex
Code-driven systems
Useful when an agent needs to inspect a codebase, build or maintain software, run tests, and turn technical instructions into reviewed changes.
Claude Code + Agent SDK
Custom technical workflows
Useful for agent workflows that need deep project context, tool use, permission controls, and an extensible runtime.
Hermes Agent
Persistent open agent
An open-source option for persistent memory, reusable skills, messaging channels, scheduled work, and self-hosted or cloud deployment.
OpenFlow
Agent product infrastructure
A possible foundation when an agent needs to reach customers through WhatsApp, Slack, or chat with an isolated environment for each customer.
Local / private agent
Customer-controlled deployment
For work where data location, local tools, latency, or access policy make a company-controlled environment the better boundary.
Tool names are implementation choices. You are buying the working system, its operating controls, and a clear handover—not a vendor badge.
Follow Custom AI Agent updates in KnowledgeManaged means visible
You should know what the agent did—and what happens next
Management is not a vague support retainer. It covers the operating signals that determine whether the system remains useful.
Runs and failures
What completed, what stopped, why it stopped, and who owns the exception.
Quality and evidence
Whether outputs stay inside the approved sources, rules, and review standard.
Usage and cost
Model, automation, and vendor usage kept visible against the value of the workflow.
Changes and releases
Updates tested and documented before they replace the version the team already trusts.
Example starting points
The agent is custom. The first useful patterns are familiar
Sales Agent
Every qualified lead reaches a clear next step.
A strong fit when inbound demand arrives through forms, email, ads, or chat and follow-up still depends on a person copying data.
Support Agent
Routine questions get a useful answer without losing the human handoff.
A strong fit for service businesses, SaaS teams, and online sellers answering the same questions across several channels.
Document Agent
Recurring documents become validated records instead of manual entry.
A strong fit for finance, property, logistics, construction, and operations teams processing a repeatable document family.
Knowledge Agent
The team gets one sourced answer instead of several conflicting versions.
A strong fit for growing or distributed teams whose answers live across shared drives, inboxes, and experienced employees.
Ownership
You own the system
Workflows are built in the agreed accounts. Prompts, rules, configuration, and operating documentation are included in the handover. Ongoing management is available, not forced.
- Accounts and vendor relationships stay visible
- Access can be removed at the end of an engagement
- The current system and operating instructions are documented
- A responsible person remains named for sensitive actions
A defined first goal
Tell us what the agent should achieve
We will map the job, tools, permissions, approval points, and operating model before recommending a build.