AI agents that finish the job, not the first step
A chatbot answers. An automation follows a rule. An agent takes a goal, works out the steps, uses your systems and APIs to complete them, and reports back. We build purpose-built AI agents for the multi-step operational work that's too variable to script and too repetitive for your best people.
From answering questions to completing work
The shift from AI that talks to AI that does is the most important change in this technology, and the one that needs the most care to get right.
Book a strategy session ($350)A good fit if you
- Have multi-step processes that vary too much for simple automation
- Spend skilled time on work that's mostly coordination: gathering, checking, updating, notifying
- Run several systems that a person has to move between to finish one task
- Want work to progress after hours without a human at the keyboard
- Need oversight and logging, not a black box
An AI agent is software that's given a goal rather than a script. It decides which steps to take, calls the tools it needs, checks the results, and keeps going until the job is done or a person needs to weigh in. Where a rule-based automation breaks the moment something unexpected happens, an agent can reason about the exception, look something up, and choose a path.
We build agents for defined operational jobs with clear boundaries: process an incoming request end to end, reconcile records across systems, research and prepare a file, monitor a queue and act on what arrives, coordinate a multi-party workflow to completion. Each agent has a specific set of tools it's allowed to use, a specific scope, and specific points where it must stop and ask.
That last part is where most agent projects go wrong. Autonomy without oversight is a liability. Every agent we build logs every action and every decision, operates within permissions you set, escalates on defined conditions, and can be paused from a switch you control. The goal is a reliable colleague, not an unsupervised intern.
What we build
Agents scoped to a job, connected to your systems, and supervised by design.
Tools and stack we work in
- OpenAI
- Anthropic
- Google Gemini
- LangGraph
- CrewAI
- Model Context Protocol
- n8n
- Make
- REST and GraphQL APIs
- Postgres
- Supabase
- AWS
- Google Cloud
We use agent frameworks where they add reliability and plain code where they add complexity. Every agent is built to be inspected and controlled by your team, not just by us.
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Operational workflow agents
Intake to resolution for requests, orders, claims, or applications, with the agent gathering, checking, updating, and notifying across systems.
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Research and preparation agents
Files, briefs, quotes, and proposals prepared from your data and outside sources before a person reviews them.
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System reconciliation agents
Records compared and corrected across CRM, accounting, and operations software, with discrepancies explained rather than silently fixed.
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Queue and inbox agents
Shared inboxes and work queues monitored and worked, with routine items completed and exceptions escalated with context.
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Coordination agents
Multi-party processes moved forward: scheduling, document collection, approvals, and follow-up until the loop closes.
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Tool and API integration
Agents connected to your CRM, ERP, scheduling, accounting, communication, and industry-specific systems through APIs and secure automation.
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Oversight, logging, and controls
Full action logs, permission scopes, escalation rules, confidence thresholds, and a kill switch. Built in from the start, not added after.
Where agents do the work
The sweet spot is work that's mostly coordination and checking, spread across systems, and variable enough that a script would break.
Insurance agencies
An agent that takes a quote request, gathers missing information from the client, checks carrier appetite, prepares the submission, and follows up until bound or declined.
Home services and trades
An agent that processes a service request end to end: qualifies, schedules against crew availability, confirms with the customer, and updates the job record.
Medical and aesthetic practices
An agent that manages the pre-visit cycle: forms, insurance verification, instructions, reminders, and rescheduling, within HIPAA-appropriate boundaries.
Real estate
An agent that moves a transaction forward: document requests, deadline tracking, party coordination, and status updates to everyone who needs them.
Legal and professional services
An agent that prepares matter intake, runs conflict checks, assembles the engagement package, and tracks what's outstanding.
E-commerce and operations
An agent that handles order exceptions: investigates, contacts the customer, coordinates with fulfillment, and resolves or escalates.
Why we build agents carefully
Because we've seen what happens when they're built carelessly.
An agent that acts on a customer record or sends a message on your behalf is doing real work with real consequences. We build them the way we'd want an employee onboarded: a clear job, defined permissions, supervision that tightens where the stakes rise, and a record of everything they did.
Done that way, agents change what a small team can handle. The coordination work that used to consume a manager's day runs continuously and reports in. The intake that used to wait for the morning gets processed overnight. And because we also run your marketing, the agent sits at the end of the demand we generate, turning inquiries into completed work instead of open tickets.
How we work
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Discovery and data audit
We learn how the business makes money, where the decision or the workflow actually breaks, and what data exists to fix it. If the data isn't there yet, that becomes step one.
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Roadmap and architecture
One plan that names the outcome, the integrations, the guardrails, and the budget. Sequenced so the fastest win funds the longer build.
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Build and integrate
We build inside your systems and your accounts, connect to the tools you already run, and test against real data before anything touches a customer.
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Measure and improve
Monthly reviews on the business number the system was built to move, not on model accuracy in isolation. We keep tuning after launch.
The same standards as everything else we do
You own the code and the data
Source, models, prompts, pipelines, and accounts are yours. If we ever part ways, everything we built stays with you.
Revenue model first
We ask how the company makes money before we ask which model to use. AI that doesn't move a business number is a science project. It's how we work on everything.
No hidden fees
Scope is written before it's priced. Cloud and API costs are passed through at cost, not marked up.
Senior people, always
The engineer who scopes your system is the one who builds it. No handoff to a junior pod after the contract.
Guardrails by default
Human review where decisions carry risk, logging on every automated action, and a kill switch you control.
Three languages
Systems that read, write, and talk in English, Spanish, and Portuguese, because your customers do. See where we operate.
Related services
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AI Automation Solutions
Approvals, hand-offs, and repetitive work, automated
Get Started AI Automation Solutions -
AI Customer Engagement
Chatbots and conversational AI that book, not just chat
Get Started AI Customer Engagement -
Generative AI Services
LLM applications for content, knowledge, and search
Get Started Generative AI Services -
Industry-Specific AI
AI built around your sector's actual workflow
Get Started Industry-Specific AI -
AI Task Manager
Project and team coordination that keeps moving
Get Started AI Task Manager -
Data Engineering & Management
Pipelines and warehouses that make AI possible
Get Started Data Engineering & Management
Questions we get asked
Automation follows a fixed script and breaks on exceptions. An agent is given a goal and tools, decides the steps, handles variation, and asks for help when it hits its limits. We use plain automation where the process is rigid and agents where it isn't.
Scope and supervision. Each agent has specific tools it's allowed to use, permissions you set, confidence thresholds, escalation rules, and a full log of every action. High-stakes steps require human approval. You can pause it at any time.
Yes. Agents connect through APIs and secure automation to your CRM, accounting, scheduling, communication, and industry systems. If a system has no API, we find the safest available route or tell you it isn't a fit.
It replaces the coordination and checking that eats their time. The judgment calls, relationships, and exceptions still go to people, who now get them with the routine work already done and the context already gathered.
A single well-scoped agent typically takes six to ten weeks including a supervised pilot phase where it proposes actions before it takes them. Autonomy expands as trust is earned, not on day one.
You do. The code, the prompts, the integrations, the logs, and the accounts are yours, documented so your team can understand and control what it does.
AI Outbound Sales and AI Task Manager are ready-built agents for two specific jobs: booking appointments from outreach, and keeping projects moving. Custom AI Agent Development is for the workflow that's unique to your business, where no ready-built agent fits and one has to be designed around your systems and rules.
Give it the goal. Watch the work get done.
Describe the multi-step process that eats your best people's week. Thirty minutes tells us whether an agent can carry it and how we'd keep it safe.
Book a strategy session ($350)
