AI Agents for Marketing & Sales
Custom AI agents for business, built for marketing and sales teams: AI lead scoring, an AI sales agent for marketplace bids, competitor monitoring and a data agent you can ask. Built on n8n, Claude, LangChain and MCP; a person approves what matters.
Why AI agents stall
before they pay back
Hot leads wait in the queue
The CRM fills up faster than the team can read it, so the best leads wait behind the rest and go cold.
Your team can't scale with headcount
The same questions, the same research and the same reports, done by hand by the people who should be selling and deciding.
AI that never reaches production
A demo that impressed, a half-built agent that breaks on real data, or AI in a browser tab that nothing else connects to.
Custom AI agents,
one job each
AI lead scoring & priority queue
Scores every new lead in your CRM against your ideal customer, quotes the evidence for each point, and sends the sales team a priority queue every morning. People decide who to call and what to say.
// in use Built for an accounting and legal firm on Bitrix24.
AI sales agent for marketplace bids
Scans every new job on Upwork, scores it against your ideal client and budget, and drafts a tailored proposal for the ones worth bidding on. A person edits and sends.
// in use Runs our own Upwork pipeline: 2,000+ jobs scored since July.
Competitor monitoring & market intelligence
Tracks competitors' sites, pricing, product pages, SEO, social and email every day. An orchestrator cross-checks the signals and sends a ranked brief every Monday.
// in use Five agents track a crypto exchange's main competitors 24/7, with a weekly executive report.
Data agent: ask your data
Your team asks questions about the reporting board in plain language and gets the number, the period and the table it came from. It answers from checked queries only and says when a question is outside what it knows.
// in use In testing on a lending client's Evidence board: 36 of 36 fact questions matched the SQL. A what-if model answers 'what are the chances' questions for another client's team in Slack and Telegram.
Ads & SEO monitoring
Watches ad accounts, search terms and rankings every day, and reports what changed, why it matters and what to do about it.
// in use Our ads agent reports Google Ads account changes daily.
Content pipeline
Finds topics, researches sources and drafts articles and posts in your voice. A person edits and approves everything before it's published.
// in use Drafts our own blog: 15 articles published, each approved by a person.
The right framework
for each job
We pick the stack for the job and your systems, not the other way round, and we run the same tools on our own agency.
n8n
Orchestration: schedules, integrations, approval gates and error alerts. Self-hosted or cloud.
Claude (Anthropic API)
Reasoning, scoring, drafting and tool use, with the model chosen per task and cost.
Claude Managed Agents
Long-running agents with their own managed workspace, for multi-step jobs.
LangChain
Chains, tool calling and retrieval inside Python services.
MCP servers
Agents connected to Google Ads, GA4, GTM, BigQuery, Ahrefs, ClickUp, Slack and Gmail.
BigQuery data agents
Conversational analytics over your warehouse, on verified queries.
Python & SQL
Custom logic, statistics and models where no-code stops.
Your CRM and channels
Bitrix24, HubSpot, Slack, Telegram, email: the agent works where your team already is.
Built for real work,
not a demo
- Rules for what the agent may say and do, written down before it goes live
- A person takes over whenever the agent isn't sure, with the full context
- Drafts for review first; it acts on its own only after its drafts hold up
- Every proposal, approval and action logged
- An alert when an agent fails or drifts, not silence
- Connected to your CRM, inboxes, ad accounts and Slack, so the work lands where your team already is
- Tested on your real data and cases, including the awkward ones
- Monthly review against the metric agreed at the start
Agents do the work.
Specialists decide.
// what the agents do
- Score new leads and build the morning priority queue
- Score marketplace jobs and draft proposals
- Watch competitors, ad accounts and rankings every day
- Answer questions about your data from checked queries
- Run the content pipeline from topic to draft
// what the specialist decides
- Approves every change that moves budget or goals
- Sends or approves every message that commits the business
- Decides what gets published
- Takes every case the agent can't handle
// what an agent never does on its own
- Move budget or change bids
- Send a message that commits the business
- Publish anything
- Change tracking, goals or conversions
- Delete data
How it runs
One repeatable job with a clear metric: lead response time, qualified meetings, hours saved, wasted spend found.
The agent runs in draft mode. Nothing goes out; you see what it would have done.
Once its drafts hold up, it acts within its rules, and anything outside them waits for a person.
The next job, the next channel, with gates set per role.
Where we've done it
We run our own agency on the same agents: they qualify inbound leads, turn meeting transcripts into tasks, brief the team every morning and report on ad accounts daily.
Five specialised AI agents track major competitors 24/7 across SEO, social, product pages and email. An orchestrator cross-references the signals and delivers a prioritised executive report every Monday.
We run our own agency on the agents we sell: inbound sales, content, Upwork bidding and project management each have an agent stack in n8n and Claude, wired to ClickUp, Slack and Gmail. Agents do the routine work faster and at a volume a small team could not cover by hand; people spend their hours on decisions.
End-to-end analytics for an online lender: a 32-event tracking spec, GA4 and GTM rebuilt, server events by Measurement Protocol, BigQuery modelled in Dataform, and an open-source Evidence board the client uses as its report, with a data agent piloted on top.
AI agents audited and rebuilt measurement across GTM, GA4 and BigQuery: 40+ assets deployed under a human-approval gate, the full 9-step booking funnel instrumented, 3 mis-mapped steps caught before they corrupted the data.
How an engagement starts
We look at your marketing, data and processes and show where agents pay back first. You keep the findings either way.
A fixed scope: one agent, one workflow, one account or one tracking rebuild. You see every proposal before anything goes live.
We run and improve it: agents work daily, the specialist decides, and you get a live report on your own data.
Questions we get asked
What does AI agent development involve?
We pick one repeatable job with a clear metric, write down the rules and what the agent may do, build it on your stack, run it in draft mode until its output holds up, and then let it act behind an approval gate.
Do AI agents replace our sales or marketing team?
No. Agents take the repeatable work: scoring, monitoring, research, first drafts. Your people keep the decisions and every message that commits the business.
What is an AI agent, in practice?
A program that reads your data, does one defined job and acts or proposes the next step: reply to this lead, block these search terms, flag this competitor change. It works continuously; a person decides what matters.
Can you finish or fix an agent someone else started?
Yes. We test it on real data, find where it breaks and fix or rebuild those parts, then add the logging and alerts it was missing.
What does an agent never do without approval?
Anything that moves money, commits the business to a customer or changes what gets measured. Those actions wait for the person who owns them.
What happens when it gets something wrong?
A wrong draft is rejected and logged, so we can see the pattern and fix the instructions. If an agent fails to run, the owner gets an alert instead of silence.
Will it work with our CRM and tools?
If a tool has an API or an MCP server, we can usually connect it. We have built agents on Google Ads, GA4, GTM, BigQuery, Ahrefs, ClickUp, Slack, Gmail, Telegram and Bitrix24. We confirm your stack in the audit.
How is our data handled?
Agents read only what their job needs. Access is granted per account and can be revoked at any time.
Get a proposal
Tell us what you want to grow. We reply within 24 hours with what we'd look at first.