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AI Agents & Workflow Automation

AI Agents & Workflow Automation Built Around Your Business

We design and implement practical AI-assisted workflows and marketing automation systems: reporting that assembles itself, leads that reach the right person, and agents that do the preparation while your team makes the decisions.

Who it's for: marketing and operations leaders at growing businesses whose teams spend real time on repetitive reporting, lead handling or campaign admin, and who want a clear, supervised path to automating it.

Problems we solve

Skilled people are doing work a system should be doing.

Most marketing teams do not lack ideas. They lack time, because routine work crowds out analysis and decisions.

  1. 01

    Reporting takes days and still arrives late

    Numbers are pulled by hand from ad platforms, analytics and the CRM, pasted into slides, and out of date by the time anyone reads them.

  2. 02

    Leads wait, get misrouted, or are never qualified

    Enquiries sit in an inbox or land with the wrong person. Sales cannot tell which leads deserve attention first.

  3. 03

    Signals are buried across tools

    Spend anomalies, tracking breaks and ranking changes are noticed late because nobody is watching every dashboard every day.

  4. 04

    Systems do not talk to each other

    Teams re-key data between platforms, so the same fact lives in several places and disagrees in all of them.

  5. 05

    AI experiments never reach daily operations

    Tools get trialled in isolation, with no owner, no review step and no connection to the way the business actually works.

Know the difference

Deterministic automation and agentic AI solve different problems.

We use the simplest tool that does the job reliably. Many workflows need no AI at all, and we will say so.

Rule-based

Deterministic automation

Fixed rules and integrations. The same input always produces the same output, so it is predictable, testable and cheap to run.

  • Best for: routing a form submission to the CRM, syncing fields between platforms, scheduled report assembly, alerts when a metric crosses a threshold.
  • Strength: reliability and auditability.
  • Limit: it cannot handle input it was not written for.

AI-assisted

Agentic AI

Language-model-based steps that interpret unstructured information and prepare drafts, summaries or recommendations. Output can vary, so it needs guardrails and review.

  • Best for: summarising performance commentary, classifying free-text enquiries, drafting content briefs, proposing next actions for a person to review.
  • Strength: handles messy, text-heavy work.
  • Limit: it can be wrong, so consequential actions need human approval.

Most real implementations combine both: deterministic steps move and check the data, and AI-assisted steps interpret or draft, with a person approving anything that matters. We do not offer fully autonomous marketing operation.

Services and deliverables

What we design, build and hand over.

Each area can be scoped on its own. Exact deliverables are confirmed in a written scope before work begins.

Marketing reporting automation

Automated collection and assembly of performance data from your ad platforms, analytics and CRM into reports your team can trust.

Typical deliverables

  • Data source and metric definitions
  • Scheduled report and dashboard builds
  • Narrative summaries drafted for human review
  • Documentation and handover

CRM lead qualification and routing

Rules, and where useful AI-assisted classification, that score, enrich and route enquiries to the right owner quickly.

Typical deliverables

  • Qualification criteria agreed with sales
  • Routing and notification workflows
  • Lead-source and attribution field mapping
  • Exception queue for human handling

Campaign intelligence workflows

Monitoring that watches spend, conversions and tracking health, and surfaces issues and opportunities with context.

Typical deliverables

  • Anomaly and threshold alerts
  • Weekly opportunity summaries
  • Recommended actions for approval
  • Alert ownership and escalation paths

SEO and content operations

Workflows that speed up research, briefing, auditing and refresh planning, while editors keep control of what is published.

Typical deliverables

  • Keyword and content-gap workflows
  • Brief and outline drafting for editors
  • Technical and on-page audit routines
  • Content refresh prioritisation

API and platform integrations

Reliable connections between the tools you already use, built with permissioned access and clear failure handling.

Typical deliverables

  • Integration design and field mapping
  • Authenticated, least-privilege connections
  • Error handling and retry logic
  • Monitoring and runbook

Human-supervised marketing agents

Task-specific agents that prepare analysis or drafts inside defined boundaries, with review points built in.

Typical deliverables

  • Agent scope, tools and permissions
  • Approval steps before consequential actions
  • Activity logs your team can audit
  • Evaluation against agreed test cases

Example use cases

What this looks like in practice.

Illustrative scenarios that show how we approach common problems. They are not client results.

A weekly performance report that assembles itself

Situation
An analyst spends most of a day each week pulling figures from several platforms into a deck.
Approach
Scheduled data pulls feed a standard report. An AI-assisted step drafts the commentary on what changed.
Human role
The analyst reviews and edits the commentary before it is shared.

New enquiries reach the right person within minutes

Situation
Web enquiries arrive by email and are forwarded by hand, so response time varies widely.
Approach
A form submission is validated, matched to the CRM, tagged with its source, and routed by rule. Free-text needs can be classified to suggest a priority.
Human role
Sales owns the final qualification. Unclear enquiries go to a review queue.

Spend and tracking problems flagged early

Situation
A broken conversion tag or a budget spike is found days after it starts.
Approach
Monitoring checks key metrics against expected ranges and sends an alert with context and a suggested next step.
Human role
A named person decides whether to act and makes any change to the account.

Faster content briefs for an editorial team

Situation
Briefing each article means repeated research across search results and existing pages.
Approach
A workflow gathers the inputs and drafts a structured brief for the editor.
Human role
The editor approves the brief. Nothing is written or published without review.

How implementation works

Small, supervised steps from idea to working system.

  1. 1

    Discover the workflow

    We map how the work is done today, who is involved, which tools hold the data, and where time and errors accumulate.

  2. 2

    Prioritise and design

    We choose workflows where the value is clear and the risk is manageable, decide what should be deterministic and what AI-assisted, and define success measures.

  3. 3

    Build and test with real cases

    We build the workflow, test it against realistic examples including awkward ones, and fix what fails before it touches live operations.

  4. 4

    Launch with supervision

    We start with a limited scope and human review on every consequential step, then widen only as confidence is earned.

    Human approval before consequential actions

  5. 5

    Document, hand over and improve

    Your team receives documentation and training. We review how the workflow performs and refine it over time if you want ongoing support.

Human oversight and data governance

Useful automation depends on control.

Automation touches customer data and live accounts. We design for that from the start.

  1. 01

    People approve consequential actions

    Budget changes, customer communication, publishing and anything hard to reverse require explicit approval from a named person.

  2. 02

    Least-privilege, permissioned access

    Connections use the narrowest access that does the job, issued and revocable by you. Credentials are never shared in documents or chat.

  3. 03

    Data handling agreed up front

    We agree which data is used, where it is processed, how long it is kept, and which model providers are involved, before anything is built.

  4. 04

    Logs, testing and clear limits

    Workflows keep an activity record, are tested against agreed cases, and have documented boundaries and a way to switch them off.

  5. 05

    No guaranteed outcomes

    Results depend on your data, processes and market. We set measurable goals and report against them honestly, without promising specific savings or performance.

Engagement models

Choose the starting point that fits.

Automation Assessment

Best when you are not sure where to start

A standalone engagement that identifies and prioritises opportunities and produces a roadmap you can act on, with us or without us.

  • Workflow and systems review
  • Prioritised opportunities
  • Implementation roadmap

Project implementation

Best when you know what to automate

A defined build of one or more workflows with agreed scope, testing and handover.

  • Written scope and acceptance criteria
  • Build, test and supervised launch
  • Documentation and training

Ongoing support

Best once workflows are live

Continuing monitoring, maintenance and improvement as your tools, data and needs change.

  • Monitoring and fixes
  • Iteration on new use cases
  • Periodic review of results

Scope, timeline and pricing are agreed in writing before any engagement begins. No pricing is published on this page.

FAQ

Frequently Asked Questions

Do I need AI for my marketing workflows?

Not always. Many tasks are better handled by simple, rule-based automation. We recommend AI-assisted steps only where interpreting unstructured information or drafting adds clear value.

Will AI agents run my marketing on their own?

No. We build supervised agents that prepare analysis and drafts. A person approves consequential actions such as spend changes, customer messages and publishing.

Can you work with the tools we already use?

Often, yes. Feasibility depends on each platform’s API, your account permissions and your data quality. We confirm this before committing to a build.

What do you need from us?

A named owner for each workflow, access to the relevant tools and data at a level you control, and time from the people who run the process today for discovery and testing.

How do you handle our data?

Data use, storage, retention and model providers are agreed in advance. We use least-privilege access that you control and can revoke.

What results should we expect?

We define measurable goals with you, such as hours of routine work reduced or response time improved, and report against them. We do not guarantee specific savings or outcomes.

How much does it cost and how long does it take?

It depends on the workflows, systems and data involved. We confirm scope, timeline and pricing in writing before any engagement begins.

Where should we start?

If you are unsure which workflows to automate, begin with an Automation Assessment. If you already know, we can scope a focused implementation.

Let's find the work that should not be manual.

Tell us how your marketing operations run today. We will give you an honest view of what is worth automating, and what is not.

These buttons open our contact page, where you can choose a service and describe what you need.