Pricing
Managed AI Agent Pricing
DH79's managed AI agent package starts from £5,000 per month inside an agreed operating scope. The fee is designed to cover workflow mapping, agent setup, private workspaces, tool integration, normal token and hosting usage, monitoring, fixes and ongoing improvement, rather than leaving the client to manage usage credits and maintenance.
Who this is for
- Founders who want a clear starting price before booking.
- Teams comparing managed AI agents with internal hires or DIY platforms.
- Businesses that need predictable monthly ownership.
The business problem
AI costs become hard to trust when buyers are charged separately for prompts, tokens, hosting, setup, maintenance and support. A managed fee needs to make scope and exceptions clear. 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
Use pricing to decide whether the managed model is in range, then book a call to scope the first workflow and confirm what is included. 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
- Fixed monthly package from £5,000 inside agreed scope.
- Workflow mapping, setup, hosting and monitoring.
- Normal token and server usage managed for the client.
- Separate scoping for unusually heavy or specialist work.
What the AI agents can do
- Clarify expected monthly cost.
- Explain what the package includes.
- Set boundaries around out-of-scope usage.
- Link buyers to call booking and service details.
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
- Budget approval.
- Scope agreement.
- Commercial judgement about whether the first workflow is worth it.
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
- Confirm budget fit.
- Scope first workflow.
- Build and test the first agent.
- Review whether the monthly service should continue or expand.
Safety and GDPR-aware controls
- Scope unusual workloads before launch.
- Do not hide usage assumptions.
- Keep approval gates in the operating model.
- Review cost and usefulness together each month.
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 agent pricing, DH79 looks for a task where the agent can clarify expected monthly cost, connect only to gmail, outlook and shared inboxes, and leave budget approval 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 agent pricing 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 businesses checking the cost of managed ai agent setup?
It is most suitable when uk businesses checking the cost of managed ai agent setup 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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