From manual workflow to working agent.
An agent is only useful when it owns a workflow end to end, so that is where we start: mapping the process as it really runs, defining the guardrails and the human approval points, then building the agent on the model suited to the job. Agents live inside your existing stack, reading your CRM, your analytics and your content systems rather than a sandbox, and they go live supervised before they run autonomously. Your team keeps the judgement; the agent keeps the repetition.
Built into your existing stack
Supervised before autonomous
Humans keep the judgement calls
How an agent gets built.
Discovery & design
The workflow mapped step by step, the guardrails and escalation points agreed, and the value case stated in hours and outcomes before anything is built.
Build & integrate
The agent developed and wired into your systems, with monitoring and evaluation baked in from the first run, not added after an incident.
Run & improve
Supervised operation, then autonomy where it has earned it. Every run is logged and scored, and the agent improves on a schedule, like any team member worth keeping.
Agents on one spine.
An agent is only as good as the signals it can read, which is why ours are built inside the Marketing Operating System rather than beside it. Reporting agents read the same measurement spine as your dashboards. Lead-handling agents act inside your CRM, where the follow-up actually happens. Content agents draft within your approved claims and tone. That combination of AI, marketing technology and measurement working as one system is what separates an agent that does the work from one that does the demo.
Reading the measurement spine
Acting inside your CRM- Drafting within approved claims
What you get
Everything an agent engagement covers.
Our clients love our AI Agent Development. Here's what working with The Garden feels like.
Workflow mapping
Agent design- Guardrail definition
Claude & LLM builds- System integration
- CRM automation
- Reporting agents
- Content operations agents
Lead-handling agents- Human-in-the-loop review
- Monitoring & evaluation
Continuous improvement
Featured case studies
Success stories from the frontline
A Pardot implementation with progressive profiling lifted Adenbrook Homes' buyer data points 250% and keeps delivering 8% more sales opportunities.
Call-centre-managed live chat gave Adenbrook Homes 314 extra sales conversations, answered in under a minute and converting 25.96% to appointments.
Frequently asked questions
What is an AI agent?
An AI agent is software that uses a model like Claude to complete multi-step work autonomously: it plans, acts across your systems, checks its own output and escalates when it is unsure. The difference from a chatbot is ownership: an agent is responsible for a workflow, not a conversation.
How is an agent different from marketing automation?
Automation follows rules you wrote in advance; an agent handles the judgement in between. A nurture workflow can send the next email, but an agent can read the reply, update the CRM, draft a response in your tone and flag the deal that needs a human today.
Which workflows should be agents first?
High-volume, repeatable work with clear success criteria: performance reporting, account audits, lead qualification and routing, content production pipelines. We rank candidates by hours saved and risk, and start where the value is provable within weeks.
How do you keep agents safe and on-brand?
Guardrails are designed before the build: what the agent may access, what needs human approval, and the claims and tone it must draft within. Every run is logged and evaluated, and anything customer-facing keeps a human review step until the evidence says otherwise.
What does it cost to run agents ongoing?
Far less than the work they replace, but the honest answer comes from the discovery phase, where the value case is stated in hours and outcomes before anything is built. Running costs are model usage plus monitoring, and both are visible on the same reporting as everything else we run.
What our clients say
Our reviews
Our clients love our AI Agent Development. Here's what working with The Garden feels like.
Based on 47 reviewsContact Us
Tell us what you are trying to grow.
* indicates required fields
