Custom AI Agents for Business — Built to Actually Take Action
Custom AI agents that don't just answer questions — they take action. Book meetings, send emails, query your CRM, update tickets, draft proposals, qualify leads. Built on Claude with tool use, deployed in 2-4 weeks from $749.
Key Features
Goal-Oriented Agents
Agents that take a high-level goal and figure out the steps — not scripted decision trees.
Real Tool Access
Agents that call your APIs, query databases, hit Stripe, GHL, Calendly, Gmail — anything with an API.
Safety Rails
Human-in-the-loop checkpoints, action confirmation, audit logging, rollback support.
Observability
Every agent run is logged, replayable, and analyzable. You see exactly what it did and why.
What's Included
Agent Design
- Goal definition and success criteria
- System prompt and role design
- Multi-step planning logic
- Self-critique and revision loops
- Fallback strategies for ambiguous inputs
Tool Integration
- Connect to your APIs (REST, GraphQL)
- CRM integration (GHL, HubSpot, Salesforce)
- Calendar / Calendly integration
- Email / SMS sending
- Stripe / payment processing
- Custom database queries
Safety & Control
- Human-in-the-loop approval gates
- Action whitelisting and budget caps
- Audit log of every action taken
- Rollback / undo for reversible actions
- Rate limiting and cost ceilings
Monitoring
- Per-run cost tracking
- Action success/failure metrics
- Conversation replay UI
- Slack / email alerts for failures
- Admin panel for prompt + tool editing
5 Live Products We've Shipped
Every product below is in production with paying users. Open any link and see what we build.
ItzSEO
AI SEO Workspace + Agency OS — built on Claude. SEO project management, HRMS, client portal, leaderboards in one tool.
Cohort SIS
Student Information System for Canadian private career colleges. Compliance, clock-hour tracking, finance, and admissions in one calm screen.
My Roof CRM
Vertical CRM for roofing companies. Branded proposals, e-signatures, and approved-job-to-invoice workflow.
AI Call Center
AI-powered call assistance platform. Inbound + outbound voice agents, intelligent customer experience orchestration.
Business Proposal
AI proposal generator. Lead discovery, business analysis, proposal drafting, and pipeline tracking.
How We Ship
Use Case Definition
What should the agent accomplish? We define goals, success criteria, and which tools it needs.
Architecture Spec
Agent design: planning vs reactive, tool list, safety rails, human checkpoints — written down before any code.
Build & Test
We build the agent in your stack, run it against 50+ test scenarios, tune behavior until it's reliable.
Deploy + Monitor
Production deploy with full observability. 14-day post-launch support to handle real-world edge cases.
Modern Tools, Battle-Tested
Why Most AI Agent Projects Fail (And How We Don't)
There's a lot of hype around AI agents in 2026 but most production deployments fail. They hallucinate, take wrong actions, can't recover from errors, and burn massive amounts in token costs. Building agents that actually work in production requires careful design — not just wiring Claude to a bunch of APIs. Here's how we approach it.
We've Shipped Production Agents
AI Call Center is a production AI agent serving real calls. The 764 Agency GHL automation is an action-taking agent serving a real brokerage. Our experience isn't hypothetical — we know what breaks in production because we've fixed it.
Plan-Then-Act, Not React-Only
Most agents fail because they react instead of plan. They get a request, immediately call a tool, fail, and spiral. We build planning loops: the agent thinks through the task, identifies the steps, considers what could fail, then acts. Result: 5-10x fewer wrong actions.
Human-in-the-Loop Where It Matters
Pure autonomous agents are dangerous for anything irreversible (sending emails, charging cards, deleting data). We design agents that PROPOSE high-risk actions and wait for human approval — but execute low-risk actions autonomously. You stay in control without micromanaging.
Cost Engineering From Day One
Agents can burn $100s/day in token costs if not carefully engineered. We optimize from the start: prompt caching, model routing (cheap models for simple steps, expensive only when needed), context window management, retry budgets. Typical savings: 70-90% vs naive implementations.
Observability or It Didn't Happen
Every agent run is logged with full conversation, tool calls, costs, and outcomes. When something goes wrong (and it will), you can see exactly what the agent thought, what it did, and why. No 'mystery failures' that you can't debug.
Transparent, Fixed-Price Packages
Packages
- Custom AI AgentFrom $749
From single-task agents to multi-tool production systems — one fixed price & timeline, scoped to your project after a free audit.
All packages include scoping call, written spec, code handover, documentation, and 14 days post-launch support.
Timeline
Free Dev Audit
30-min call. We scope your project, define success criteria.
Written Spec
One-page spec with deliverables, timeline, and fixed price.
Build & Iterate
Daily Loom updates. You can request changes anytime before final ship.
Ship & Support
Production deploy, code handover, documentation. 14 days free post-launch fixes.
Want a custom quote for your project? Book a free dev audit and we'll deliver a written spec within 24 hours.
Book Free Dev AuditFrequently Asked Questions
What's the difference between an AI chatbot and an AI agent?
A chatbot answers questions. An agent takes actions. A chatbot says 'sure, here's how to book a meeting with us — click this link.' An agent says 'I see you want a meeting Thursday at 2pm — I just booked it on Ranjan's calendar and sent you a confirmation.' Agents have tool use; chatbots typically don't.
What kinds of agents do you build?
Common ones: lead qualification agents (research a lead, score them, draft outreach), meeting-booking agents (handle scheduling via email/chat), CRM automation agents (update records, draft follow-ups, escalate hot leads), proposal generators (research a client, draft a proposal, send for signature), content production agents (research topic, draft article, optimize for SEO, schedule publish), and customer support agents (handle tier-1 tickets autonomously, escalate complex ones).
Can the agent do things in my CRM (GoHighLevel, HubSpot, etc.)?
Yes. We integrate with GHL, HubSpot, Salesforce, Pipedrive, Close, and most major CRMs. The agent can create contacts, update deal stages, send templated emails, log notes, and trigger workflows.
How do you prevent the agent from doing wrong things?
Three layers. (1) Tool whitelisting — the agent can ONLY call tools you've explicitly granted. (2) Human-in-the-loop gates — high-risk actions (sending external emails, processing payments, deleting records) require a confirmation step you can configure. (3) Budget caps — each agent run has a max token spend and max action count. If it tries to do something insane, it gets cut off.
What happens if the agent fails mid-task?
Every action is logged in a state machine. If the agent crashes or hits an error mid-flow, it can resume from the last successful step instead of starting over. For irreversible actions, we add idempotency keys so retries don't double-charge anyone or send duplicate emails.
How much does it cost to run an agent in production?
Token costs vary massively based on agent complexity. A simple lead-qualifier might cost $0.05-0.20 per run. A complex research agent might cost $1-5 per run. We give you a per-run cost estimate during scoping and build cost dashboards so you can monitor it. Server costs are typically $20-100/month.
Can you build agents that handle phone calls?
Yes — we've done this for AI Call Center. Voice agents use Claude + a voice API (OpenAI Voice, ElevenLabs, or Twilio with TTS/STT) to handle inbound and outbound calls. Particularly powerful for appointment booking, lead qualification, and tier-1 customer support.
How long do agents take to build?
Single-task agents: 7-10 days. Multi-tool agents: 2-3 weeks. Full production agent systems with multiple coordinated agents and custom UI: 3-6 weeks. The biggest variable is how custom your tools and workflows are — wiring to standard APIs is fast; integrating bespoke internal systems takes longer.
Ready to Deploy a Custom AI Agent?
Book a free 30-min call. We'll map your use case, design the agent, and quote it.