Industry hub
AI Agents by Industry
DH79 industry pages show how managed AI agents can support marketing agencies, recruitment firms, estate agents, consultants, accountants, law firms, private clinics, SaaS companies, e-commerce firms and home-service businesses. Each industry page focuses on practical workflows, tools, approval points, safety controls and first-month priorities.
Who this is for
- Buyers who want examples close to their own business model.
- Firms comparing AI agent use cases by industry.
- Teams that need to understand what should stay human in their sector.
The business problem
Generic AI agent pages rarely show how the work changes by sector. Industry-specific pages help buyers see whether DH79 understands the workflows, risks and tools that matter to their business. 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
Choose the closest industry page, review the common workflows, then use pricing and safety pages to decide whether a managed pilot is sensible. 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.
Best first AI agents to build
- Industry-specific workflow maps.
- Tool and data access notes.
- Human approval boundaries for each sector.
- Related service, pricing, safety and booking links.
What the AI agents can do
- Show sector-specific research, follow-up, admin and monitoring work.
- Identify first workflows for agencies, recruiters, property firms and professional services.
- Explain safe support for sensitive sectors.
- Point buyers toward a first call.
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
- Sector judgement and client relationships.
- Regulated advice and sensitive decisions.
- Final approval of external messages.
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
- Pick the closest industry route.
- Map the first workflow and required tools.
- Launch draft-only where risk matters.
- Review usefulness before expanding.
Safety and GDPR-aware controls
- Keep least-privilege access by role and workflow.
- Use human approval for reputational or regulated work.
- Do not automate professional judgement.
- Record escalation routes before launch.
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 agents by industry, DH79 looks for a task where the agent can show sector-specific research, follow-up, admin and monitoring work, connect only to gmail, outlook and shared inboxes, and leave sector judgement and client relationships 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 agents by industry 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 business owners looking for industry-specific ai agent examples?
It is most suitable when business owners looking for industry-specific ai agent examples 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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