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Starts with an AI agent auditCustom AI agents that do one job well
Practical AI agents that act as a force multiplier for marketing and operations teams, scoped to a single workflow, connected to the tools you already use, and measured against a number that matters.
A force multiplier, not a science project
The best first agents are rarely flashy. They take repeatable work off your team's plate so people can spend their time on the work that needs judgment.
Agents are a good fit when the work repeats, the inputs live in tools you can connect to, and you can tell good output from bad. They are a poor fit for one-off projects or work that is mostly judgment calls.
- The task repeats on a schedule or a trigger
- The inputs live in your CRM, docs, analytics or ad platforms
- There is a clear number to improve, like hours spent or leads followed up
Where agents earn their keep
In the agent audit, we sort your team's work into four buckets. The best first build usually comes from the first or the third.
Take repetitive work off the table
The weekly report, the budget pacing check, the morning performance recap. If someone does it the same way every time, an agent can run it on schedule and never forget.
Let AI carry the volume
AI is great at research and first drafts at scale. Your team is better at strategy, taste and knowing the customer. Split the work that way and everyone moves faster.
Finally get to the backlog
Every team has a list of useful work that never made the cut: case study drafts, copy QA, product briefs, tailored outreach for creators, self-serve materials for sales. An agent makes that list worth doing.
Build the tool you wish existed
Sometimes the answer is a small internal tool that fixes one annoying problem for your team. Start small, build on what you already have, and grow it once it proves useful.
What we build
Agents tied to a real business process. Each one takes over a repeatable task your team does today.
Content and reporting
Hours back every week.
- Research briefs and first drafts built from your sources and guidelines
- Recurring performance reports and budget pacing alerts
- Refresh lists based on which pages are losing traffic
Website lead assistant
Leads captured around the clock.
- A conversational assistant that answers buyer questions on your site, 24/7
- Grounded in your own pages, pricing and FAQs
- Hands qualified leads to your team with the conversation attached
Lead research and qualification
Faster follow-up on better leads.
- New leads enriched with company and contact context
- Leads scored and routed against your criteria
- First-touch notes drafted for your team to review
Internal knowledge assistants
Answers without the hunt.
- Answers grounded in your docs, policies and playbooks
- Every answer links the source so your team can check it
- Scoped to the content each team should see
How we build
Built to avoid the places AI projects usually get stuck.
Start small, not all at once
Teams stall when they try to automate a whole workflow in one shot. We start with one job and one metric, then expand once it works.
Built for daily use, not the demo
Agents connect to the tools you already use, such as your CRM, docs, analytics and ad platforms, and are tested on real work, not a polished demo.
People review what matters
Anything customer-facing or high-stakes gets a review step. The agent does the busywork and your team makes the call.
Not set and forget
We track each agent against its metric and tune it, so it keeps earning its place.
A plan for the time you get back
Saved hours tend to quietly disappear into other work. We agree up front where reclaimed time goes, so the gain shows up.
How it works
Every build is scoped and quoted before any work begins.
Free consultation
A 30-minute call on the workflows eating your team's time.
AI agent audit
A review of your workflows and tools to find where an agent saves real time or money.
Scope and quote
One job, one metric and a clear scope, agreed before anything gets built.
Build and measure
The agent goes live in your tools, and we track it against its metric.
Related services
Questions
What is an AI agent?
An AI agent is software that uses a language model to complete a task on its own: gathering information, making simple decisions and taking actions in your tools. A good business agent does one clearly defined job, like qualifying leads or building a weekly report, and hands off to a person where judgment matters.
Where should a team start with AI agents?
Start small. Pick a repetitive task nobody enjoys, like a daily briefing or budget pacing check, or something from the backlog your team never gets to, like copy QA or first drafts. These are low risk, easy to measure and build confidence for bigger projects.
What kind of AI agents do you build?
Practical agents tied to a business process: content and reporting workflows, website lead assistants, lead research and qualification, internal knowledge assistants, and marketing operations automations. Each one is scoped to a measurable job.
How much does an AI agent build cost?
Every build starts with an AI agent audit, quoted per project. The audit maps your workflows and tools and scopes the build, so you have a clear scope and quote before anything gets built.
Is the AI agent audit the same as the SEO and AI visibility audit?
No. The agent audit is separate. It reviews your workflows and tools to find where an agent saves time or money. The SEO and AI visibility audit covers how you show up in search and AI answers.
Do I need a technical team?
No. We handle the build and connect the agent to the tools you already use. Your team needs to know the workflow well enough to say what good output looks like.
What is a private LLM build?
A private LLM build pairs an open-weight language model with your own documents and data, running in an environment you control. You get a flat, predictable cost instead of per-token API billing, and your data stays in-house. This service is in development. If you are interested, select it in the contact form.
Find the busywork worth automating
Start with a free consultation. We'll talk through your workflows and where an agent could save real time or money.