AI-powered digital workforce
Describe what your business needs. Specialised AI agents coordinate the work.
Imagine describing what your business needs in simple words and having specialised AI agents coordinate the work. Denama is building towards this future through intelligent orchestration, business integrations and human-controlled automation.
What is an AI-powered digital workforce?
A team of specialised AI agents — each good at one kind of work — coordinated by a central orchestrator that understands your goal. You describe the outcome you want; the workforce plans the work, carries out the repetitive parts and brings important decisions back to you.
Not just another chatbot
A chatbot answers questions. A workforce plans and carries out multi-step work across tools.
Not a pile of disconnected tools
Agents share one plan and pass work to each other, instead of you moving it between apps.
Not a replacement for your judgement
Important actions wait for a person. You stay in control of what is published, sent or deployed.
From a plain-language instruction to a coordinated plan.
The same five stages, whatever the request.
Describe
You describe the goal in everyday language — no technical brief needed.
Understand
The orchestrator clarifies the goal and asks questions where something is unclear.
Plan
The goal is broken into tasks, with the dependencies between them identified.
Coordinate
Tasks are assigned to specialised agents, and work passes between them in order.
Approve & deliver
You review the important steps. Approved work is delivered and recorded.
You describe the goal
Help me establish my business online and generate more customers.
AI orchestrator
- Understand
- Plan
- Assign
- Coordinate
- SEO ResearchResearching
- Content CreationDrafting
- Website DevelopmentBuilding
- Lead GenerationPreparing
- + more specialised agents
Deliverables
- Website & landing pages
- SEO strategy
One intelligence layer that coordinates every agent.
The orchestrator is what turns separate AI capabilities into a workforce. It never acts on important steps by itself — it plans, delegates, tracks and asks.
Understands the request
Works out the real goal behind the instruction.
Creates a plan
Breaks the goal into clear, ordered tasks.
Identifies dependencies
Knows which work must finish before other work can start.
Assigns tasks
Gives each task to the agent best suited to it.
Coordinates agents
Passes results between agents and keeps the plan up to date.
Asks for approval
Pauses before important actions and waits for a person.
Specialised workforces
Digital Marketing Workforce
Research, content and campaign work coordinated as one workflow instead of separate tools.
Less repetitive marketing work, with research, content and campaigns moving through one reviewed workflow.
Available as a service today: SEO, content and marketing-reporting workflows designed and run by our team, with your approval at each step. PPC workflows on request.
SEO Research Agent
Audits a website and studies competitors and the market.
Keyword Intelligence Agent
Finds keywords, checks search intent and maps them to pages.
Content Creation Agent
Drafts briefs, articles and landing-page copy for review.
PPC Campaign Agent
Plans campaign structure, keyword groups and ad copy.
Social Media Agent
Plans a posting calendar and drafts posts.
Marketing Analytics Agent
Reports on performance and recommends what to change.
- Envisioned agent roles — future ai vision, not products available today.
Specialised workforces
Software Development Workforce
Requirements, development, testing and deployment coordinated — with engineers in control.
Faster, well-documented software delivery, reviewed and approved by experienced engineers.
Available as a service today: custom software, SaaS platforms, websites and API integrations, built, hosted and maintained by our engineering team.
Requirements Analysis Agent
Turns a plain-language request into clear requirements.
Architecture & Planning Agent
Proposes the architecture and breaks the work into tasks.
Frontend Development Agent
Builds user interfaces against the agreed design.
Backend Development Agent
Builds APIs, data models and integrations.
Code Review Agent
Reviews changes for quality, consistency and risk.
Software Testing Agent
Writes and runs automated tests and reports failures.
Deployment Agent
Prepares releases, hosting and monitoring for approval.
- Envisioned agent roles — future ai vision, not products available today.
Specialised workforces
Business Operations Workforce
Leads, customers, documents and reports handled consistently, every day.
Less re-typing and chasing, with every important step approved and recorded.
Available as a service today: lead capture and follow-up, and document and approval workflows connected to the systems you already use.
Lead Generation Agent
Captures enquiries from your website and channels.
CRM Agent
Keeps customer records organised and up to date.
Document Processing Agent
Reads invoices and forms and checks them against your rules.
Customer Communication Agent
Drafts replies, reminders and follow-ups for approval.
Workflow Automation Agent
Moves work between people and systems in the right order.
Reporting Agent
Summarises activity and flags what needs attention.
- Envisioned agent roles — future ai vision, not products available today.
Example: a document workflow we can build now
Invoices, forms and documents follow the same path every time: captured, checked against your rules, approved by the right person and passed to the system you already use.
Document
An invoice, form or request arrives.
Extract
The fields you need are read from it.
Validate
Values are checked against your rules.
Approve (human checkpoint)
A person approves or corrects it.
Your system
The data is written where you work.
Report
Every step is logged and reported.
- Validation rules you define
- Approval before anything is posted
- A history of every step
Imagine having a digital employee who understands your business goals.
You describe what you need. Your Personal AI turns it into a plan, coordinates specialised agents and comes back to you for the decisions that matter. You supervise the outcome instead of managing seven separate tools or teams.
I am opening a dental clinic. Help me establish my online business.
Your plan
Seven specialised agents- WebsiteA clinic website with services, timings and an appointment-request pageAwaiting your approval
- Branding & contentTone of voice, service descriptions and patient-friendly contentApproved
- SEOLocal search terms researched and mapped to pagesIn progress
- Social mediaA posting calendar with draft posts for reviewPlanned
- Lead generationEnquiry capture from the website and social profilesPlanned
- CRM & communicationEnquiries organised; reminders and follow-ups draftedPlanned
- AnalyticsWhat is working, and recommended next stepsPlanned
Nothing is published, sent or spent without your approval.
The same idea works for other businesses
A local service business
“I run a plumbing service. Help me get more local enquiries.”
An online store
“Write descriptions for our new product range and plan a launch campaign.”
A professional consultancy
“Organise client intake and send each new enquiry to the right partner.”
A digital marketing agency
“Prepare keyword research and a content plan for a new client, ready for our review.”
Example requests to show the idea — not customer stories.
The engineering behind our AI direction.
These are the technologies and engineering principles we are focusing on as we build towards a coordinated AI workforce.
AI agent architecture
How specialised agents plan, act and work together.
- Agent orchestration
- Planning and task decomposition
- Tool calling
- Memory
- Multi-agent collaboration
- Workflow execution
LLM engineering
Integrating language models reliably into real workflows.
- OpenAI APIs and model integration
- Structured outputs
- Retrieval-augmented generation (RAG)
- Embeddings
- Vector databases
- Model evaluation
Python and AI frameworks
The stack we build AI services with.
- Python
- FastAPI
- LangGraph
- Model integration
- Agent evaluation and observability
MCP and AI integrations
Connecting agents to the systems a business already uses.
- Model Context Protocol (MCP)
- Database integrations
- API integrations
- External applications
- Business tools and services
AI security and governance
Keeping automated work controlled and accountable.
- Agent identity
- Permission management
- Access control
- Audit logs
- Human approvals
- Data privacy
- Secure tool execution
Future exploration
Robotics and physical AI are areas we are exploring for the future. They are not a current commercial offering.
- Robotics
- Physical AI
This describes our technology direction and areas of engineering focus. It does not mean every item is already part of a production AI platform.
Powerful automation. Human control.
Automation should never mean losing control. Every workflow we design — today and in the future — routes important actions through permissions and a person's approval.
Actions that wait for a person's approval
- Publishing website content
- Sending customer communications
- Launching advertising campaigns
- Updating business records
- Changing production websites
- Deploying software
- Accessing sensitive information
Approval checkpoint — a person decides
Carried out, then recorded in the activity history
Role-based permissions
People and agents can do only what their role allows.
Controlled tool access
Each workflow uses only the tools and accounts it needs.
Approval checkpoints
Important steps pause until a person approves them.
Activity history
A record of what was done, by whom and when.
Data protection
Your data and accounts stay in your ownership.
Controlled execution
Work runs in defined steps that can be stopped or corrected.
What is available today — and what we are building.
Our AI workforce is a long-term vision. Our products and services are available now, and every engagement can start today.
Software products
Live products, developed, hosted and supported by Denama.
Services we deliver
Projects and managed services our engineering team takes on today.
- Enterprise SaaS development
- Custom software development
- Website development
- API integrations
- AI consulting and automation implementation, scoped per project
- Cloud and managed hosting
- Technology maintenance and support
Future AI vision
Planned capabilities we are working towards. Not available today.
- A coordinated AI workforce of specialised agents
- Personal AI — a digital employee for business owners
- End-to-end agent orchestration with human approval
- A self-service AI automation platform
Start with one workflow today.
You do not need to wait for the future platform. Most engagements start with one workflow, one website or one piece of software — built with the same human-approval principles.
Tell us the goal
Describe what you want to automate, build or improve.
Agree a scope
We recommend what can be delivered reliably today, and how.
Build and approve
We build it, you review it, and nothing goes live without your sign-off.
Ways to work with us
One-time implementation
A defined project: we build the automation, website or software and hand it over.
Monthly managed automation
We run, monitor and improve your automations every month as an ongoing service.
Self-service AI platform
PlannedA future self-service platform for the AI workforce is planned. It is not available today.
Discuss your AI automation idea.
Tell us what you would like to automate, build or improve. We will explain honestly what we can deliver today and how it fits our AI workforce direction.
- No obligation
- Clear next steps
- What is possible today