Workflow audit and ranked first-use-case map
DH79 MANAGED AI OPERATIONS
Put AI agentsto work insideyour business.Professionallydeployed in hours.
DH79 sets up, trains, hosts and manages private AI agent teams for UK businesses and service firms. Your agents can do much more than just support research, follow-up, content, admin and operations. We take care of monitoring, tokens, training and improvement all for one fixed monthly fee.
- Private AI agent teams set up and run for you
- Research, follow-up, content, admin and operations
- First useful workflows mapped in month one
- No hiring, hosting or prompt-management headache
DH79Managed AI
First month
Your first agents, could be doing real valuable work for you this week.
- 1Map the highest-value workflows
- 2Build the first private agents
- 3Set approval rules and guardrails
- 4Pilot, monitor and improve the system
2-3first agents
25minute call
Fixedmonthly fee
Plain English
DH79 in plain English
DH79 is a UK-based managed AI agent service for businesses that want practical AI systems set up and run for them. We build private AI agent teams for many many tasks including: research, follow-up, content, meeting preparation, CRM updates, admin and monitoring. We map the workflows, connect the tools, set human approval rules, manage the hosting and tokens, monitor the system, fix what breaks and keep improving it for one fixed monthly fee.
The fully managed package is £5,000/month no token counting, no limits, just the best help possible, doing real work.
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, first agents, controlled launch, monitoring and monthly improvement
- Safety
- Human approval gates, least-privilege access, logs and scoped permissions
- Next step
- Book a 25-minute AI operations call
What you get first
Your first 30 days with DH79
The promise is not an abstract AI transformation. The first month is designed to make a useful workflows, thats are controlled and ever improving.
Lead follow-upMeeting prepResearch briefingsContent repurposingCRM and admin updates
First 2-3 useful agents built around real business tasks
Private workspace, context and tool access configured
Approval rules, boundaries and guardrails written in plain English
Team onboarding notes and example outputs for review
Live pilot with monitoring, fixes and improvement notes
Practical agent work
What can your AI agents actually do?
Most businesses have tried ChatGPT. Very few have turned AI into a working part of the company. DH79 takes the practical things AI is already good at — writing, research, analysis, follow-up, preparation, summarising, monitoring and admin — and turns them into managed agents that work for your business every day.
From one-off prompts to daily operations.
AI tools are powerful when someone knows what to ask. DH79 goes further: we turn repeatable business tasks into managed AI workflows, with agents that know your context, work inside controlled environments and are tuned around the way your company actually operates.
1
Email and follow-up
Draft replies, chase prospects, summarise long threads, prepare diplomatic responses, flag urgent messages and make sure opportunities do not go cold.
Example task
“Find every warm lead we have not replied to this week, summarise the situation and draft the next follow-up for approval.”
2
Research assistant
Research companies, competitors, prospects, markets, suppliers, grants, regulations and industry trends, then turn the findings into usable briefings.
Example task
“Research these 20 target companies, identify the right decision-makers and suggest a personalised approach for each one.”
3
Content creation
Turn ideas, calls, notes, reports and rough voice memos into LinkedIn posts, newsletters, blog drafts, scripts, presentations and campaign angles.
Example task
“Turn this founder voice note into three LinkedIn posts, one email newsletter and a short sales page section.”
4
Problem-solving and strategy
Examine commercial problems from different angles, pressure-test decisions, identify risks, compare options and produce practical next steps.
Example task
“We are losing leads after the first call. Analyse the likely causes and suggest a better follow-up process.”
5
Meeting prep
Prepare you before calls by summarising emails, documents, CRM notes, past conversations, company background and likely talking points.
Example task
“Prepare me for my 10am meeting: client history, open issues, opportunities, risks and recommended agenda.”
6
Sales support
Qualify leads, enrich prospect lists, draft outreach, prepare call notes, build proposal outlines and keep the CRM updated.
Example task
“Create a priority list of the best 50 prospects from this spreadsheet and draft a first-touch email for each segment.”
7
Client service
Summarise client conversations, track promised actions, prepare reports, draft updates and make sure the team does not miss details.
Example task
“Review this client thread and produce a status update, action list, risks and next email.”
8
Operations and admin
Organise documents, write SOPs, extract tasks from meetings, create checklists, monitor recurring processes and reduce repetitive admin.
Example task
“Turn this messy internal process into a clear step-by-step operating procedure a new team member could follow.”
9
Monitoring and alerts
Watch for useful signals: competitor movement, customer complaints, market news, recruitment changes, funding announcements or supplier issues.
Example task
“Monitor these competitors and send a weekly summary of anything commercially useful.”
The difference is that DH79 does not just give you prompts. We build the system, connect the tools, create the agents, set the guardrails, monitor the costs, fix what breaks and keep improving the workflows until AI becomes part of how your business actually runs.
The shift
Your team has tried AI. Now your business needs to use it properly.
Your competitors are not waiting. The next advantage will not come from one clever employee using ChatGPT after hours. It will come from businesses that put agents around the work itself: prospecting, follow-up, content, client communication, internal knowledge, reporting and the repetitive tasks that quietly limit growth.
How it works
We turn AI from fun experiment into a working layer inside the firm.
The point is not to install a fashionable tool. The point is to build a managed system that fits how your people already work, then improve it step by step, until you re getting ten times the value out.
Map the work first
We ask the practical questions: where does time leak, where do leads go cold, where does information get repeated, and which tasks can safely be drafted, researched, prepared or chased by agents?
Build useful agents
Each agent has a job, a boundary, a knowledge base, tool access and review rules. That might mean lead research, proposal prep, inbox triage, content repurposing, CRM updates or internal knowledge support.
Stay in the loop
We monitor usage, refine prompts, adjust permissions, improve workflows and help your team adopt the system. You are not left with a dashboard and a headache.
What we build
What sits behind the scenes
A good AI agent setup is not a pile of prompts. It is architecture: models, memory, credentials, workflows, permissions, monitoring and a clear view of where human judgement stays in control.
Prompts + roles
Agent design
Task-specific agents with defined roles, inputs, outputs, escalation rules and success criteria.
Knowledge layer
Persistent memory
Business context, tone of voice, processes, FAQs and working preferences made available where useful.
Connectors
Tool connections
Careful integration with the systems your team already uses, such as email, documents, calendars, CRM, Slack, Notion or web publishing tools.
Access control
Credential handling
Scoped access, password boundaries and permission choices designed before agents are allowed near important systems.
Guardrails
Human review
Approval points for anything sensitive, external, reputational or commercially material.
Managed service
Ongoing operations
Monitoring, iteration, fault-finding, model updates and new agent builds as the business learns what it needs.
Launch plan
A practical launch plan, not an endless transformation programme.
The first engagement is designed to prove value quickly. We start narrow, make one workflow genuinely useful, then expand from there.
01
Workflow audit
Clear first use casesShort interviews, tool review and a ranked map of the highest-value automation opportunities.
02
First agent build
Usable pilotWe build the first working agents, connect the necessary knowledge and define what they can and cannot do.
03
Team pilot
Live working rhythmYour team tests the workflow with human approval points, feedback loops and simple operating instructions.
04
Refine and expand
Managed monthly planWe improve outputs, tighten controls and decide what to automate next based on actual usage.
Guardrails
Built to be useful without being reckless.
The fastest way to lose confidence in AI is to give it too much freedom too soon. DH79 starts with boundaries, then expands only where the work proves reliable.
Least-privilege access
Agents only get the access they need for the job, rather than broad permissions across the business.
Human approval gates
External messages, sensitive documents and reputation-critical work can remain draft-only until approved.
Logs and review
Outputs, usage patterns and failure points are reviewed so the system improves rather than drifting silently.
Plain-English operating rules
Your team should know what the agents do, when to trust them, when to check them and how to request changes.
The operator
AI needs technical taste and commercial judgement.
DH79 is led by Angelo Valentino, bringing together commercial strategy, behavioural psychology, AI product thinking, marketing operations and creative technology. The aim is not to impress clients with jargon. It is to build AI systems that make commercial work faster, clearer and more consistent.
The strongest AI advantage rarely comes from one clever prompt. It comes from understanding how a business actually wins work, where human attention is being wasted, and which workflows can be safely handed to agents with the right supervision.
Angelo Valentino
What you get
The £5,000/month managed AI agent package.
One fixed monthly operating fee. DH79 runs the agents, tokens, hosting, monitoring and improvements inside the agreed scope, so you do not have to hire an AI team or figure out prompts, servers, credits, memory, permissions and integrations on your own.
- AI opportunity audit and workflow map
- Private agent workspaces and task-specific agent setup
- Agent architecture, prompts, memory and tool connections
- Managed hosting, monitoring, tokens and iteration
- Security, permissions and human-review design
- Team onboarding and plain-English operating notes
- Ongoing changes inside the agreed operating scope
- No token counting, agent counting or machine counting for normal use
Founding partners
Founding Partner Programme
The first cohort will be deliberately small: hands-on setup, direct founder involvement and a serious attempt to build real operating advantage for each firm. We are looking for businesses that want AI agents doing commercially useful work quickly, with DH79 staying in the room after launch.
FAQ
The sensible questions.
Is this just ChatGPT with a nicer wrapper?+
No. ChatGPT is usually a conversation with one person. DH79 builds operating workflows around your business: defined agents, business context, tool access, review rules, monitoring and ongoing improvement.
How quickly can we get something useful running?+
The first goal is usually a useful pilot within the first few weeks. We start with one or two narrow workflows rather than trying to automate the whole firm at once.
Will this replace my staff?+
No. The aim is to remove drudgery so capable people spend more of their day on judgement, relationships, strategy, creative decisions and client care. Agents should raise the ceiling for the team, not hollow it out.
What about confidentiality and data security?+
The data, access and risk profile are mapped before any agent is designed. The operating model can include scoped permissions, separate workspaces, logging, human review points and clear rules for what agents can and cannot touch.
Are we left to manage the agents ourselves?+
No. That is the main difference between this and buying another software tool. DH79 handles setup, monitoring, changes and practical support so the system keeps improving instead of becoming another abandoned dashboard.
Do I need to understand the technical stack?+
No. You should understand what each agent does, where the boundaries are and how the operating model helps the firm. You do not need to manage prompts, credits, servers or model changes.
What does it cost?+
The core managed package is £5,000 per month for the agreed operating scope. DH79 is not charging by token, agent or machine. Normal usage inside the scope is included; unusually heavy or out-of-scope workloads are scoped separately before they are allowed to create cost surprises.
Are you ready to put AI to real work?
A short call is enough to identify the first workflows worth building. We will tell you where agents can create leverage, where they should and should not be trusted yet, security and privacy concerns and options, and what a sensible rapid deployment look like for you.