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AI Agent Setup for UK Companies
AI Agent Setup for UK Companies is most useful when uk companies, founder-led smes and agencies need repeatable work handled consistently without losing human control. DH79 maps the workflow, builds private AI agents, connects the right tools, sets approval gates and runs the system as a managed service. The starting point is not a generic AI demo. It is a narrow operational workflow such as research, follow-up, content, meeting preparation, CRM updates, admin or monitoring, launched carefully and improved each month.
Structured summary
DH79 at a glance
- Type
- UK-based managed AI agent service
- Best for
- Founder-led SMEs, agencies, consultants and service businesses
- Core offer
- Private AI agent teams built, run and improved for you
- Use cases
- Research, sales follow-up, content, meeting preparation, CRM updates, admin and monitoring
- Pricing
- Fixed managed package from £5,000/month
- Delivery model
- Workflow audit, agent build, controlled launch, monitoring and monthly improvement
- Safety
- Human approval gates, least-privilege access, logs and scoped permissions
- Next step
- Book an AI operations call
Who this is for
- Founder-led UK SMEs that want useful AI agents installed without building an internal AI department.
- Agencies, consultancies and service firms that need research, follow-up, content, meetings, CRM or admin support.
- Teams that already use ChatGPT informally but need a managed, controlled operating model.
The business problem
Most companies do not fail with AI because the model is weak. They fail because nobody owns workflow mapping, data access, permissions, testing, training, monitoring and maintenance. Individual staff members try tools in isolation, useful prompts disappear, risk rules are unclear and the business never gets a dependable operating rhythm. The important test is whether the work is frequent enough, valuable enough and controlled enough for an agent to help without hiding risk. DH79 starts with a narrow workflow because useful agents need clear inputs, clear outputs and a named human owner.
Example workflow
A practical first workflow could be a sales follow-up agent: it reviews recent calls and CRM notes, drafts the next follow-up, suggests missing information, prepares a task for the owner and waits for approval before anything leaves the business. The workflow is designed so the agent prepares, drafts, summarises or monitors, while a human remains responsible for approval where judgement, reputation, compliance or customer trust is involved.
What DH79 sets up
- Workflow audit and prioritised first use-case map.
- Private agent workspace with task-specific instructions and business context.
- Tool connections for email, calendar, documents, CRM and knowledge sources where appropriate.
- Human approval rules, logs, monitoring and monthly improvement.
What the AI agents can do
- Research companies, prospects, markets and competitors.
- Draft sales follow-up, proposal sections and client updates.
- Prepare meetings from emails, documents, calendar notes and CRM records.
- Update CRM fields, extract tasks and monitor recurring business signals.
What tools they can connect to
- Gmail, Outlook and shared inboxes
- Google Workspace, Microsoft 365, Notion, Drive and SharePoint
- HubSpot, Pipedrive, Salesforce or lightweight CRM systems
- Slack, Teams, calendars, task tools and internal knowledge bases
- Website CMS, spreadsheets, forms and reporting dashboards where access is scoped
What stays human
- Final approval of outbound emails, proposals and client-facing material.
- Commercial judgement, negotiation, pricing decisions and relationship handling.
- Any legal, financial, medical, HR or regulated advice.
DH79 deliberately avoids promising fully autonomous business judgement. The safest commercial gains usually come from agents preparing the work, making gaps visible and giving humans better drafts, summaries and reminders.
First 30 days
- Week 1: map workflows, tools, risks and the first controlled use case.
- Week 2: build the first agent workspace, instructions, knowledge and access rules.
- Week 3: test outputs with draft-only review and team feedback.
- Week 4: launch the controlled workflow, review logs and agree the next improvement.
Safety and GDPR-aware controls
- Least-privilege access instead of broad account permissions.
- Draft-only mode for external messages until the client approves a different rule.
- Logs, review points and clear escalation routes for unusual outputs.
- GDPR-aware data minimisation and scoped access to client or customer records.
Pricing and scope
DH79's managed package starts from £5,000/month inside an agreed operating scope. Work that needs unusual volume, specialist integrations or regulated review is scoped before launch so costs and responsibilities are clear.
How to judge whether this should be your first agent
A good first agent is not the most exciting idea in the business. It is the workflow with clear inputs, repeatable steps, visible mistakes and a human owner who can approve the output. For ai agent setup for uk companies, DH79 looks for a task where the agent can research companies, prospects, markets and competitors, connect only to gmail, outlook and shared inboxes, and leave final approval of outbound emails, proposals and client-facing material with a person. That makes the pilot easier to measure and safer to improve.
- Bring two or three real examples of the current workflow, including a strong example and a messy edge case.
- Decide who owns approval, who receives the draft or summary, and what would count as a useful first-month result.
- Start with a draft, research, preparation, triage or monitoring task before allowing any agent to take external action.
FAQs
Can DH79 set up ai agent setup for uk companies without our team managing prompts?
Yes. DH79 maps the workflow, builds the agent instructions and private workspace, connects the agreed tools, sets approval rules, monitors usage and improves the system. Your team should understand the operating rules, but it should not have to manage tokens, hosting or prompt maintenance.
What should stay under human approval?
External messages, legal or financial commitments, sensitive client communication, medical or regulated judgement, unusual edge cases and anything that could affect reputation should remain human reviewed unless a narrower approval policy is agreed.
How quickly can the first workflow go live?
A narrow first workflow is normally designed during the first month. The first 30 days focus on workflow audit, data and tool access, agent build, controlled testing, team feedback and a decision on what to improve or add next.
How does DH79 reduce risk?
DH79 uses scoped permissions, least-privilege access, human approval gates, logs, draft-only modes for sensitive work, clear escalation rules and monthly review. The aim is useful operational leverage without handing important judgement to an unsupervised system.
Is this suitable for uk companies, founder-led smes and agencies?
It is most suitable when uk companies, founder-led smes and agencies have repeatable research, drafting, preparation, follow-up, admin or monitoring work and want a managed service rather than a DIY platform. If the first use case is too vague, DH79 starts by narrowing it into a controlled pilot.
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