Outreach Agent
Writes the first version of every outreach message. Pulls context from your knowledge hub. A human reviews before it sends. Volume up, quality held.
AI agents that run your workflows
AI AGENTS FOR BUSINESS
AI Agents that run your workflows
We build custom AI agents that handle outreach, research, reporting, and first-draft content. Your team stops spending hours on tasks that should run themselves.
WHAT SLOWS YOUR TEAM DOWN
Your team is maxed out.
Most teams are not slow because they are bad at their jobs. They are slow because the wrong work fills the day. Research, outreach, report assembly, copy drafts. Repeatable tasks that take real hours.
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Outreach takes too long to write.
Every message feels like it needs to be custom. Most of the time, the structure is the same. The hours add up fast.
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Research eats the morning.
Tab switching, copy pasting, summarising. A senior person doing a junior job, every single day.
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Reports are still assembled by hand.
Someone pulls the numbers, formats the sheet, writes the summary. The same routine, every week.
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First drafts go back and forth.
A brief goes to a writer. A draft comes back. Three rounds later, it is still not right. The brief was the problem, not the person.
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No one knows which AI tool to use.
The market is full of tools that promise the same thing. Most teams either test everything or trust nothing. Both cost time.
CUSTOM AI AGENTS WE BUILD
One agent per repeatable job.
We map the tasks that repeat most, then we build one agent for each. Not a chatbot. Not a prompt you run manually. A built flow that runs when it should, produces what it should, and stops before it should not.
Research Agent
Summarises sources, compares data, builds briefing docs. Returns a clean output in the format your team already uses.
Reporting Agent
Pulls from your live data, formats the summary, delivers it on schedule. Daily overviews before the day starts.
Content Draft Agent
First drafts for blogs, emails, and supporting content. Briefed from the knowledge hub. A senior editor reviews before anything is published.
Ad Copy Agent
Headlines, body copy, variant sets. Briefed properly so the output does not need to be rewritten from scratch.
AI KNOWLEDGE HUB FOR YOUR BUSINESS
AI needs context to work.
An AI agent without context produces generic output. That is where most AI fails inside a company. We build a knowledge hub before we build the agent. One source of truth the agent pulls from. Your tone, your products, your data, your audience. Built once, updated as you grow.
What goes in
- Brand voice and tone guidelines.
- Product and service documentation.
- Audience profiles and campaign context.
- Past performance data and learnings.
- Approved message frameworks.
Result : Every agent output starts from your context, not from a blank page.
AI AUTOMATED REPORTING FOR TEAMS
Reports done before you start.
Most teams spend the first hour of the day pulling numbers. Checking dashboards, copying data, writing a summary for leadership. That is not strategy. That is admin.
We build automated reporting flows that pull from your live data, format the output, and deliver a clean daily overview to the right person at the right time. Leadership gets the summary. The team gets the detail. No one assembles it by hand.
What gets automated:
- Daily performance overviews across paid channels.
- Weekly summaries for leadership.
- Anomaly flags when a metric moves outside range.
- Campaign health snapshots before the daily check-in.
AI WORKFLOW AUTOMATION RESULTS
From doing to deciding.
Before
Your senior team spends real hours on work that does not need them. Research, reports, first drafts, outreach. The day fills up before the thinking starts.
After
Agents handle the first version. Your team handles the judgement. A senior person reviews before anything ships. Hours come back. The work improves.
WHAT AI AGENTS DELIVER
Hours saved. Quality held.
- Senior team spends time on decisions, not assembly.
- Outreach volume scales without scaling the headcount.
- Research briefs arrive faster and more consistently.
- Reports are waiting when the day starts.
- First drafts are better because the brief is built into the agent.
- The knowledge hub improves every agent over time.
HOW WE BUILD CUSTOM AI AGENTS
Six steps. One working agent.
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Task Audit.
We map every repeatable task on your team. Volume, frequency, error cost, hand-off points. We find the two or three that will deliver the most hours back, fastest.
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Tool Selection.
We pick from the tools we already run in production. No new experiments in your workflow. Proven tools, right fit for the job.
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Knowledge Hub Build.
We pull from your existing docs, playbooks, and data. The hub is the foundation. Every agent runs from it.
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Agent Design.
We design the flow. Inputs, trigger, output format, hand-off point. Where does the agent start, what does it produce, who reviews it.
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Senior Review Layer.
Every flow has a human checkpoint before output ships. We set this up on day one. It does not get removed until the agent is proven stable.
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Measure and Refine.
We track output quality, time saved, and error rate. We refine the prompts and the flow. Then we add the next agent on top of a stack that works.
Frequently Asked Questions
How do you build an outreach agent that does not sound automated?
The knowledge hub carries the voice. The brief inside the agent sets the context for every message. A human reviews before anything sends. The agent handles the structure, the human handles the judgement.
How do you keep the knowledge hub current?
We set a review cycle when we build it, usually quarterly. When your product, offer, or audience changes, the hub gets updated first. The agents pull from it automatically.
How do you handle a research agent that returns wrong information?
Every research agent has a source boundary. It pulls from defined sources, not the open internet. The output always includes a source reference. A human validates before the summary is used.
How do we know when an agent is ready to run without close supervision?
We track error rate and output quality over four to six weeks. When the agent holds its standard consistently, we reduce the review frequency. We never remove the review point entirely for high-stakes outputs.
How do you connect agents to the tools we already use?
We audit your current stack in the first meeting. We build connections to the tools you already use, CRM, ad platforms, reporting dashboards, project management. No new systems unless they are clearly better.
What does a reporting agent actually do every morning?
It connects to your data sources, pulls the numbers from the previous day, formats them into the layout your team uses, and delivers the summary by a set time. It also flags any metric that has moved outside its normal range.
How do you stop an agent from going off brief?
The brief is built into the agent, not written fresh each time. It includes the output format, the constraints, the tone, and the stop conditions. If the agent cannot complete the task cleanly, it flags for human review instead of guessing.
How often should we update the agent flow?
After the first month, we review every four to six weeks. As your business changes, the flows adapt. A static agent in a changing business is a liability.
Start with one automation. Scale from there.
Let us find the first task worth automating for your team, and build it properly.
Start the conversation