Automate the work that eats your team's week .
AI agent development is the design and build of software agents that take a goal, use tools and data, and complete multi-step tasks with human oversight where it matters. We build agents and workflow automation for product and operations teams, and we run our own automations in production.
An agent that works in a demo and breaks in production is worse than no agent. We scope tightly, keep a human in the loop where mistakes are costly, and log every step so you can see what it did. If a plain workflow solves the problem, we will say so.
Agents and workflows for real operations.
Starting with the processes that waste the most time and carry the least risk.
Lead capture and scoring
Web or form leads enriched, scored and routed to the right person with an alert, so none go cold.
Internal assistants
Agents that answer team questions from your documents and systems, with sources shown.
Back-office automation
Reports, reminders, data entry and hand-offs between tools, run on a schedule or a trigger.
Customer support helpers
Drafting and triage that speeds up your team, with a human sending the reply.
Document processing
Extracting and checking data from forms, invoices and emails into your systems.
Custom agent products
Agent features inside your SaaS, built with evals and observability.
How an automation project runs.
Pick the process
We map the workflow, find the repeated manual steps, and choose one with clear value and low risk.
Design the guardrails
We decide where a human approves, what the agent may and may not do, and what happens on failure.
Build and connect
We build the workflow or agent and connect it to your tools using n8n or custom code.
Test on real cases
We run it on real examples and measure accuracy before it touches live work.
Launch and tune
We deploy with logging and alerts, then improve it based on what it gets wrong.
We run it ourselves.
We use automation inside Shubpy, so the trade-offs below come from operation, not theory.
Our own website lead alert runs on n8n: a form submission triggers a webhook, a model scores the lead, and an alert reaches the team within seconds. For deeper model work, see our LLM and RAG development service.
Straight answers.
What is AI agent development?+
AI agent development is building software agents that take a goal, use tools and data, and complete multi-step tasks, with human oversight and logging where mistakes would be costly.
What is the difference between an AI agent and workflow automation?+
Workflow automation follows fixed steps. An agent chooses steps based on the situation. Many problems only need a workflow, and we recommend the simpler option when it is enough.
Which tools do you use for automation?+
We use n8n for many workflows and custom code where needed, connecting to your CRM, messaging, data and APIs. The choice depends on your systems and who will maintain it.
How do you keep an agent from making costly mistakes?+
We limit what it can do, require human approval for risky actions, log every step, and test on real cases before launch.
Can you add AI features inside our SaaS product?+
Yes. We build agents and retrieval features with evaluation and observability. See our LLM and RAG development service for the model side.
How is pricing handled?+
Scoped per project after a discovery call, so the price matches the actual work.
Have a process worth automating?
Tell us the task and the tools involved. We will tell you whether an agent, a workflow or neither is the right answer.