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Managed AI Agents for UK Businesses

Managed AI Agents for UK Businesses is most useful when uk smes, agencies, consultants and service businesses 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.

Book the AI operations call Managed AI agents

Structured summary

DH79 at a glance

Book the AI operations call

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 businesses that want agents built and run for them rather than another platform to manage.
Teams with repeated research, sales, content, meeting, CRM, admin or monitoring work.
Businesses that want a fixed managed package with clear safety rules and monthly improvement.

The business problem

A business does not need a pile of disconnected AI tools. It needs a working layer around repeatable tasks: agents with jobs, context, boundaries, tool access and review rules. Without that layer, AI remains a collection of clever experiments rather than an operational advantage. 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

DH79 might start with a meeting-prep and follow-up workflow: before a call, the agent prepares a brief from CRM, email and documents; after the call, it drafts notes, tasks, a follow-up email and CRM updates for approval. 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

Opportunity audit and workflow prioritisation.
Private AI agent teams with roles, memory, tool access and operating rules.
Controlled launch plan, team onboarding and review loops.
Hosting, token management, monitoring, fixes and ongoing improvement.

What the AI agents can do

Research, summarise, draft, classify, prepare, chase, update and monitor.
Turn calls and notes into useful content, briefs, proposals and tasks.
Keep CRM, inboxes and recurring reports cleaner with human review.
Watch competitors, customers, suppliers or public signals and summarise what matters.

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

Strategy, judgement, relationship work, approvals and sensitive decisions.
Final sign-off for outbound communications and client deliverables.
Regulated decisions, legal advice, medical advice, finance advice and HR decisions.

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

Map where time leaks and which workflows have enough repeatability to automate safely.
Build one or two first agents with narrow instructions and limited access.
Pilot with real examples while outputs remain draft-only.
Measure usefulness, fix weak spots and agree the next agent team to add.

Safety and GDPR-aware controls

Human-in-the-loop approval gates for anything sensitive or external.
Separate workspaces and least-privilege access.
Visible logs and routine review of failures, edge cases and user feedback.
Plain-English operating rules so the team knows when to trust and when to check.

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 managed ai agents for uk businesses, DH79 looks for a task where the agent can research, summarise, draft, classify, prepare, chase, update and monitor, connect only to gmail, outlook and shared inboxes, and leave strategy, judgement, relationship work, approvals and sensitive decisions 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 managed ai agents for uk businesses 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 smes, agencies, consultants and service businesses?

It is most suitable when uk smes, agencies, consultants and service businesses 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.

Want to know which AI agents your business should build first?

Book a short AI operations call and we'll map the fastest, safest starting point for your business.