DH79 MANAGED AI OPERATIONS
DH79 configures private AI workspaces, trains the teams on your business, hosts and monitors the systems, covers normal token and server usage inside scope, and keeps improving the workflows.
Set up. Trained. Run.
Most businesses have tried ChatGPT. Very few have turned AI into operational capacity. DH79 takes the practical things AI is already strong at — writing, research, analysis, follow-up, preparation, summarising, monitoring and admin — and turns them into managed agent teams that work every day.
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 keep improving around the way your company actually operates.
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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 simple: DH79 does not sell you software and leave you to figure it out. We configure the agents, connect the tools, set the guardrails, monitor the costs, fix what breaks and keep improving the workflows until AI becomes part of how your business actually runs.
This is not hype. The advantage is practical: agents can research, draft, chase, summarise, prepare, monitor and organise while your people do the work that needs judgement. Firms that move now build the operating rhythm, the data habits and the learning curve. Firms that wait spend that time catching up.
The point is not to install a fashionable tool. The point is to put agent teams around the recurring work that slows the business down, then operate that system properly.
We look for the work that quietly costs the most: slow follow-up, repeated research, messy admin, scattered knowledge, content bottlenecks and decisions made without enough preparation.
Each agent team gets a job, a boundary, a knowledge base, tool access and review rules. The setup is built for your workflows rather than handed over as a pile of prompts.
We host it, monitor it, pay the token and server costs, refine the prompts, adjust the permissions and keep improving the workflows as the business learns where agents create leverage.
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
Task-specific agents with defined roles, inputs, outputs, escalation rules and success criteria.
Knowledge layer
Business context, tone of voice, processes, FAQs and working preferences made available where useful.
Connectors
Careful integration with the systems your team already uses, such as email, documents, calendars, CRM, Slack, Notion or web publishing tools.
Access control
Scoped access, password boundaries and permission choices designed before agents are allowed near important systems.
Guardrails
Approval points for anything sensitive, external, reputational or commercially material.
Managed service
Monitoring, iteration, fault-finding, model updates and new agent builds as the business learns what it needs.
The first engagement is designed to prove value quickly. We start narrow, make one workflow genuinely useful, then expand from there.
Short interviews, tool review and a ranked map of the highest-value automation opportunities.
We build the first working agents, connect the necessary knowledge and define what they can and cannot do.
Your team tests the workflow with human approval points, feedback loops and simple operating instructions.
We improve outputs, tighten controls and decide what to automate next based on actual usage.
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.
Agents only get the access they need for the job, rather than broad permissions across the business.
External messages, sensitive documents and reputation-critical work can remain draft-only until approved.
Outputs, usage patterns and failure points are reviewed so the system improves rather than drifting silently.
Your team should know what the agents do, when to trust them, when to check them and how to request changes.
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
DH79 configures and runs the agents, tokens, hosting, monitoring and improvements inside the agreed scope. You do not have to hire an AI team or figure out prompts, servers, credits, memory, permissions and integrations on your own.
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.
No. ChatGPT is usually a conversation with one person. DH79 builds operating capacity around your business: defined agent teams, business context, tool access, review rules, monitoring and ongoing improvement.
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.
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.
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.
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.
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.
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 and unlimited agent teams inside the scope are included; unusually heavy or out-of-scope workloads are scoped separately before they are allowed to create cost surprises.
This is not about looking innovative. It is about giving your business more reach, more follow-up, more preparation and more output without asking your best people to carry more admin. A short call is enough to identify the first agent teams worth building.