Services · AI Agent Development

AI agents that run parts of your business, autonomously.

Not a chatbot. Not a Zapier rule. An AI agent researches, decides, writes, and acts — the way a capable employee would, without a human approving every step.

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$8k+
Starting price, fixed
3–5
Weeks to production
0%
Hourly billing
The problem

Some work needs judgment.
Rules can't make judgment calls.

Your best people spend hours a week on work that follows a pattern but still needs a decision: researching a lead, triaging a ticket, checking a status across three tools. Automation tools can't do it, because there's no fixed rule to write. Hiring for it doesn't scale.

Rule-based automation

Moves data. Doesn't decide anything.

Zapier and Make fire when a trigger matches — reliable for the parts of a process that never change, and useless the moment judgment is required.

  • Can copy a new lead into a spreadsheet
  • Can't decide if that lead is worth pursuing
  • Breaks silently when the input looks slightly different
An AI agent

Reads the situation. Decides. Acts.

An agent reads context the way a person would, weighs it, and takes the next action — escalating to a human only when it's genuinely unsure.

  • Reads the lead's company, researches, decides if it's worth pursuing
  • Drafts a personalised outreach, logs it to your CRM
  • Escalates to a human only below its confidence threshold
What we build

A multi-agent system,
purpose-built for your workflow.

Each agent has a defined role, its own memory, and access to only the tools it needs — running continuously, with a human checking in only where you want one to. Built on Claude, connected to your stack via MCP.

Deliverables
  • Architecture design — agent roles, memory, tool access, escalation rules
  • Production deployment on your infrastructure or ours
  • CRM, email, and calendar integrations via MCP
  • 2-week hypercare window after launch
Claude APIMCPHubSpotSalesforceSlackPostgreSQL
Process & pricing

3–5 weeks, fixed price,
weekly demos.

The same process for every agent build, whether it's a single-agent integration or a five-agent pipeline.

01Discovery call — free, 30 minutes. We map the workflow and what the agent should own.
02Scoped proposal — fixed price and timeline, within 5 business days.
03Architecture design — agent roles, memory, tool access, escalation rules. You approve before we build.
04Build, with weekly demos — on real data, in a staging environment you can access.
05Deploy + hypercare — 2 weeks of tuning after launch, optional retainer after that.
$8,000
Starting price
$10–15k
Typical complete system
$2,500/mo
Optional retainer
FAQs

Questions before
the call.

An agent is one defined role with its own instructions, memory, and tool access — a Researcher, a Copywriter, a CRM Agent. Most production systems use 3–8 agents coordinated by an orchestrator.
Yes — HubSpot, Salesforce, and most common CRMs, via MCP or direct API integration, decided during the architecture phase.
Every agent system ships with a confidence threshold. Below it, the task escalates to a human — the agent never guesses on your behalf.
Every build includes a 2-week hypercare window. After that, monthly retainers for ongoing tuning and evolution start at $2,500/month.
We only take on a small number of builds at a time, so if we can't meet your timeline, we'll tell you honestly on the discovery call and point you to someone we trust rather than overcommit. Ongoing support runs on a monthly retainer with response expectations agreed upfront.
AI Workflow Automation → See the AI Revenue Engine case study → About Devsphinx → All services →

Have a workflow that needs judgment, not just a rule?

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