AI Agents
Custom AI agents that don't just answer questions — they take action inside ERPNext, your inbox, and the tools you already run your business on.
Most AI tools stop at generating text. An AI agent goes further: given a goal, it plans steps, calls the tools and systems it needs — ERPNext, email, spreadsheets, your helpdesk, FBR — and completes the task, checking in with a human when a decision needs approval. Softech Global Services designs and builds custom AI agents for specific business functions, rather than deploying a generic assistant and hoping it fits.
We build agents the way we build software: scoped to a job, tested against real data before go-live, and given only the access and tools they need. Agents can work standalone or as the engine behind a Digital FTE or an AI automation workflow — the three services share the same underlying platform and are often combined in a single engagement.
Agents we build
- Finance agents — invoice matching, reconciliation, and exception flagging inside ERPNext
- Sales agents — lead qualification, CRM updates, and personalized follow-up sequencing
- Support agents — answering customer questions from your knowledge base and escalating what they can't resolve
- Compliance agents — checking transactions and filings against FBR and tax rules before submission
- Operations agents — monitoring stock, orders, and vendor performance and triggering the next action
- Internal knowledge agents — answering staff questions from your SOPs, policies, and documentation
What AI agents change
They take action, not just answer
An agent updates the record, sends the email, or flags the exception itself — it doesn't just tell someone what to do next.
They work across systems
A single agent can read from ERPNext, check FBR rules, and reply in your inbox — closing workflows that used to require switching between tools manually.
They scale without headcount
One agent configuration can handle a growing volume of the same task without additional hiring.
They're auditable
Every action an agent takes is logged, so you can review exactly what it did and why — the same accountability you'd expect from a team member.
How we build AI agents
Define the goal and tools
We scope exactly what the agent needs to accomplish and which systems and actions it's allowed to touch.
Design & test the agent
We build the agent's reasoning and tool-calling logic and test it against real historical cases before it goes near production data.
Deploy with approval gates
High-stakes actions route through human approval initially; low-risk, high-confidence actions run autonomously from day one.
Monitor & expand scope
We track accuracy and outcomes, then expand the agent's autonomy or responsibilities as performance proves out.
Frequently asked questions
What's the difference between an AI agent and AI automation?
AI automation typically runs a defined workflow end-to-end. An AI agent is more autonomous — it plans its own steps to reach a goal and decides which tools to call. In practice, agents are often the engine that powers our AI automation and Digital FTE work.
Can an AI agent connect to ERPNext?
Yes — ERPNext integration is one of our core strengths, so agents we build can read and write ERPNext records directly, alongside email, CRM, helpdesk, and FBR systems.
How do you stop an agent from taking the wrong action?
Every agent is scoped to a specific set of allowed tools and actions, with approval gates on anything high-stakes or low-confidence. Nothing runs with unrestricted access to your systems.
How long does it take to build a custom agent?
It depends on scope, but most single-purpose agents go from design to a supervised pilot within a few weeks, following the same phased approach we use for automation and ERP projects.
Related services
Ready to get started?
Tell us about your business and we'll come back with a scoped, phased plan — no obligation.
Talk to us