Use cases

Where agents earn their keep

Six places we put custom agents to work today. Every one runs on proven tooling, plugs into the systems you already have, and keeps a human in the loop where it matters.

marketing

Campaign & content agents

Marketing teams burn senior hours on mechanical work: repackaging content across channels, enriching leads by hand, assembling the same reports every week. The strategic thinking gets whatever time is left.

What the agent does

  • Drafts campaigns, posts, and landing copy in your brand voice
  • Enriches and scores inbound leads before they reach sales
  • Assembles recurring performance reports automatically
  • Routes everything through your team for approval — agents draft, people ship
CRMAD PLATFORMSBRAND VOICEMARKETING AGENTDRAFTS TO APPROVE

Plugs into

Your CRMEmail & ad platformsn8nAnalytics

Your team ships more campaigns and spends its time on positioning and strategy, not production.

finance

Accounting & back-office agents

Back-office work is high-volume, rule-heavy, and deadline-driven — exactly what agents handle well, and exactly where silent errors are expensive. That is why every agent here works with a human checkpoint.

What the agent does

  • Ingests and categorizes invoices as they arrive
  • Prepares reconciliation drafts against your bank feed
  • Checks expenses against your policies
  • Flags anomalies to a person, with the reasoning attached
INVOICESBANK FEEDERPFINANCE AGENTDRAFTS + FLAGS

Plugs into

Your ERP / accounting systemBank feedsSpreadsheetsEmail inboxes

A faster close and fewer manual-entry errors — your accountant reviews exceptions instead of processing everything.

engineering

AI code & security reviews in CI

Human code review is a bottleneck, and security review happens far less often than it should. Meanwhile every pull request is an opportunity for a bug or a vulnerability to slip through tired eyes.

What the agent does

  • Reviews every pull request for bugs and regressions before a human looks at it
  • Runs a security review on each diff — injection risks, secrets, unsafe patterns
  • Encodes your team’s standards as review policies, applied consistently
  • Posts findings as PR comments, inside the workflow your team already uses
PULL REQUESTREVIEW AGENTSFINDINGS ON THE PR

Plugs into

GitHub / GitLab CIYour coding standardsClaude, GPT & other frontier models

Human reviewers start where the mechanical pass ends — merges get faster and fewer defects escape.

operations

Agentic workflows

Real business processes span five tools, and today a person carries the context between them — copying, pasting, chasing, remembering. When that person is out, the process stops.

What the agent does

  • Runs multi-step processes end-to-end across your tools
  • Pauses at approval gates where consequences matter
  • Retries transient failures and escalates to a human when stuck
  • Records every action and decision in an audit trail
TRIGGERYOUR TOOLSWORKFLOW AGENTDONE + AUDIT TRAIL

Plugs into

n8nYour SaaS stackInternal APIsSlack / Teams

Processes that used to depend on someone remembering now simply run — with a record of everything they did.

reliability

Automatic incident root-cause analysis

The first thirty minutes of an incident are spent gathering data under pressure: which logs, which dashboards, what shipped recently. That is time your system is down and your responder is grepping.

What the agent does

  • Triggers on the alert and gathers logs, metrics, and traces immediately
  • Correlates the incident with recent deploys and config changes
  • Posts a timeline and root-cause hypothesis into the incident channel
  • Drafts the post-mortem while the details are still fresh
ALERTSLOGS + METRICSDEPLOY DIFFSRCA AGENTROOT-CAUSE DRAFT

Plugs into

PagerDuty / OpsgenieGrafana / Datadog / SentryGitHubSlack

Responders start from a hypothesis instead of a blank terminal — and the post-mortem writes itself.

data

Data agents that speak business

The answers live in your warehouse, but the access lives with your data team — so every business question becomes a ticket, and most decisions get made without the data.

What the agent does

  • Answers plain-language questions with governed queries against your warehouse
  • Uses your metric definitions — “revenue” means what your CFO says it means
  • Shows the query behind every answer, so results are checkable
  • Lives in Slack, where the questions are already being asked
A QUESTIONMETRIC DEFINITIONSDATA AGENTGOVERNED ANSWER

Plugs into

BigQuery / SnowflakedbtSlackYour BI stack

Decisions stop waiting on the analytics queue — and the data team stops being a help desk.

Which of these would pay off first for you?

That is exactly the question a 30-minute strategic call answers. Bring a process that hurts; leave with a plan.

Book a 30-minute strategic call