Traditional AI
Prompt → Response
- Prompt
- Response
AI AGENT DEVELOPMENT
AI agents that turn repetitive work into intelligent workflows.
Bristm is an AI agent development company that designs and builds custom AI agents to understand tasks, make decisions, use your business tools and complete multi-step workflows with human oversight built in.
From AI customer support agents to sales, operations and ecommerce automation, we help businesses put AI to work where it creates measurable value.
Agentic AI automation in numbers
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20+hrs
Saved per team, per week
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35
Faster response times
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3×
More workflows handled per team
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24/7
Automated workflow availability
AGENTIC AI EXPLAINED
What is agentic AI?
Agentic AI refers to AI systems that pursue a goal rather than just generate a response. An AI agent can interpret a request, decide which steps are needed, use connected tools or data, and take action to complete a task, checking in with a person when judgment is required.
Unlike a traditional chatbot that only answers questions, or rule-based automation that follows fixed steps, an agentic workflow can coordinate actions across systems and adapt to what it finds. That makes it useful for work that is repetitive but still needs context.
Agentic AI
Agentic AI
Goal → Plan → Act
- Goal
- Plan
- Use tools
- Check data
- Decide
- Act
- Report
Human approval when needed
OUR AI AGENT DEVELOPMENT PROCESS
From AI opportunity to production workflow.
Our AI agent development process takes a workflow from idea to production in five clear steps. We start with the business problem, not the model, so every AI agent we build is secure, measurable and ready for real work.
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01. Discover AI Use Cases
We map your current workflows, find repetitive tasks and pick the AI use cases with the clearest return.
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02. Design the Agent Workflow
We define what the agent does, which tools and data it uses, when it asks a human, and how success is measured.
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03. Build & Integrate
We build the AI agent, connect it to your systems through secure APIs and set permissions for every action.
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04. Test & Validate
We test the agent on real scenarios and edge cases, check accuracy and safety, and review outputs with your team.
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05. Launch & Optimize
We launch in stages, monitor performance and costs, and keep improving prompts, tools and workflows.
HUMAN-IN-THE-LOOP AI
Where AI still needs human judgment.
AI agents can automate a lot, but not everything. We are honest about the limits and design human-in-the-loop checkpoints, clear permissions and escalation paths into every workflow, so people stay in control of the decisions that matter.
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01. Handle every edge case
AI can struggle with unusual requests, incomplete information or situations it wasn't designed for. We route these to a person.
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02. Guaranteeing perfect accuracy
AI can make mistakes. Critical outputs such as refunds, pricing or legal wording are reviewed before they go out.
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03. Replacing human judgment everywhere
Sensitive decisions involving customers, finances or compliance should stay with people. AI prepares; humans decide.
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04. Working without quality data
An AI agent is only as good as its data. We check the structure, accuracy and access of your data before we build.
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05. Understanding business context automatically
AI doesn't know your policies or priorities by default. We give it clear instructions, examples and guardrails.
Our approach
We don't treat AI as a black box. We define what it can do, what it should never do, and when a human must approve.
- Identify the task
- Define guardrails
- Automate the routine
- Escalate exceptions
- Review and improve
AI agent case study
Better AI experiences. Measurable outcomes.
Every AI project starts with a clear workflow problem. Here's how one AI agent changed the way a team worked and what the numbers showed after launch.
FASHION & APPAREL
An AI support agent for ecommerce order and product questions
We built an AI agent that answers order-status, sizing and product questions, connected to Shopify and the helpdesk, and hands complex cases to the support team.
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+58%
Support tickets resolved by the AI agent
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40sec
Average first response time
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+22hrs
Support time saved every week
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+90%
Customer satisfaction (CSAT)
AI AGENT DEVELOPMENT FAQS
Questions? We've got answers.
Still unsure? Write to us at hi@bristm.com and an AI specialist will reply.
A focused AI agent for one workflow, such as support or order updates, typically takes 4–8 weeks from discovery to launch. Multi-step or multi-agent systems with several integrations take longer. We confirm the timeline after mapping your workflow.
Our AI agents connect through APIs to tools such as Shopify, CRMs, helpdesks, ERPs, Slack, Google Workspace and databases. If a system has an API or supports Model Context Protocol (MCP), we can usually connect it securely.
We design human-in-the-loop checkpoints for sensitive actions, set clear permissions for what the agent can and can't do, and route exceptions to your team. Every action is logged so you can review what the agent did and why.
We give AI agents the minimum access they need, keep credentials in secure storage, avoid sending sensitive data where it isn't required, and follow your data policies. We can also use providers and settings that don't train on your data.
A chatbot answers questions in a conversation. An AI agent works towards a goal: it can plan steps, use tools, look up data and take actions such as updating an order or creating a ticket, then report back.
Cost depends on the number of workflows, integrations and the level of human review needed. Bristm gives a fixed quote after discovery, with projects starting from $5000. Ongoing model usage and support are priced separately.
We monitor task success, escalations, response times and cost per task, then keep improving prompts, tools and guardrails. As your needs grow, we extend the agent to new workflows.
AI AGENT INSIGHTS
Insights for building better AI agents.
Practical guides on agentic AI, AI workflow automation, ecommerce AI and responsible AI, from the team building AI agents for real businesses.
Shopify Store Development
How to Build a High-Converting Shopify Store in 2026
Learn how thoughtful UX, scalable development, and a strong storefront foundation can turn more visitors into customers.
Shopify UX & Design
Shopify vs Shopify Plus: What's the Difference?
Understand the differences between Shopify plans and when a more advanced commerce setup may make sense.
Shopify UX & Design
The Shopify Store Performance Checklist
A practical guide to identifying the technical and UX issues that can slow down a Shopify storefront.
LET'S BUILD YOUR AI AGENT
Ready to put AI agents to work?
Tell us which workflow takes too much of your team's time. As an AI agent development company, we'll show you what can be automated, what should stay human, and how we'd build it.