Miiwa builds your knowledge, brand, methods and processes into specialised AI agents for specific jobs.
The employee provides a few inputs. The agent researches, analyses and applies the relevant knowledge and methods, completing most of the process before the employee takes over.
See Miiwa in practice and how specialised AI agents can increase capacity across your team.
The result is greater capacity with the same team, specialist work that scales across your organisation, brands and markets, and more consistent quality. Knowledge, methods and context stay within the business and can be applied consistently across tasks and teams.
The goal is not more AI. It is more work done in-house with the resources you already have.
From specialist knowledge to digital capacity
Your most important knowledge is not only in documents.
It also lives in the methods, judgements and experience your best people draw on when they do a job well.
Your expertise
Together with the people who know the work, we map:
Miiwa builds the digital specialist
Employees use the finished specialist in their daily work.
Miiwa turns your expertise into a specialised AI agent for the job. Employees do not need to understand the AI configuration behind it.
Digital specialists
Each AI specialist in Miiwa is built for one specific job. It combines Miiwa’s specialist knowledge and more than 25 years of marketing and communication experience, our AI and context architecture, and your company’s own knowledge, brand, data and methods.
01 / 07
Uses a strategic method and knowledge of the market, competitors, audiences and your business to develop strategy, priorities and recommendations.
02 / 07
Combines campaign methods with your brand, audiences, products, previous campaigns and data to develop campaigns from analysis and angles to messaging and content.
03 / 07
Brings together product knowledge, brand, audience, messaging and relevant context in a finished brief.
04 / 07
Uses product knowledge and audience insight to turn complex material into benefits, messages and material for different audiences.
05 / 07
Follows a defined analytical method, identifies patterns in relevant data and turns them into conclusions, opportunities and recommendations.
06 / 07
Brings together data and results and turns them into conclusions, recommendations and next steps.
07 / 07
Works with your tone of voice, brand, audience and knowledge to produce content for specific channels and formats using the communication method built in.
The specialist method is built in from the start. Your company’s knowledge and context are added, so every task draws on both professional methods and the reality your business works in.
Workspaces & context
Each brand, market or business area can have its own workspace with the right knowledge, context and access. This reduces mix-ups and errors, improves precision and lets you scale the same specialist capacity without losing local relevance or control.
Each workspace can hold its own:
Shared specialist capacity
Shared methods. Local relevance. Separate data.
The same specialised AI agents can work across workspaces, always using the context of the workspace they run in.
Each AI agent can also be given access to exactly the knowledge sources needed for its job.
An agency can have one workspace per client. A group can use separate workspaces for brands, markets or business areas. Data and context stay separate.
Establishment · 4–6 weeks
You do not start by learning another AI tool.
We start with the work you already do.
You bring the expertise. We build the AI around it.
Jonathan & Adina · directly involved
We map recurring processes, bottlenecks and tasks that take significant time in research, analysis, preparation, reporting, production or quality assurance.
Together with the people who know the work best, we identify the knowledge, rules, judgements and methods that belong in the process.
Miiwa builds the first specialised AI agents, connects them to the relevant knowledge and tests them on real tasks and previous examples.
Employees use the finished specialists on real tasks. We follow the results, collect feedback and adjust where needed.
Your shared foundation
Miiwa brings company context, specialised AI agents, knowledge, models, approvals and measurement together in one work platform. It provides a shared foundation so employees work towards the same goals and values.
People stay in control
People set the direction.
AI can carry out much of the work, while critical actions and decisions can require human approval. Access, actions and results can be controlled and traced.
Solutions
Establishment typically takes 4–6 weeks. Together, we map the most important processes and build the AI specialists employees need. We focus on repeated knowledge-intensive work where specialist time matters. Marketing and communication are natural starting points: research, analysis, planning, production, adaptation and quality assurance recur across many tasks.
A digital department of AI specialists built on your brand, knowledge and methods. Bring research, analysis, strategy, campaigns, content, communication, reporting and quality assurance into one work platform. Each brand, client or market can have its own workspace and context, while the same specialists work across them.
See whether it is actually paying off
Miiwa can measure how long a task normally takes, how often a specialist is used and how employees rate the result.
So the value of AI is based on more than a feeling.
ROI calculatorThe team
“We built Miiwa to help people and technology work better together, without losing the company’s knowledge, expertise and way of working.”
Miiwa combines more than 25 years of experience in communication and marketing with the technical work of building the platform from the ground up.
Meet the people behind MiiwaQuestions & answers
The questions we get most about what Miiwa is, who it's for, and how to get started.
Miiwa is an AI-driven work platform where your company’s knowledge, brand, methods and processes are built into specialised AI agents for specific jobs. Instead of researching, gathering context, analysing, prompting and driving the entire process themselves, employees provide a few inputs and the agent completes 80–85% of the work.
Companies, agencies and organisations with many repeated, knowledge-intensive processes. It is particularly relevant when employees do similar tasks, specialist knowledge is needed across the organisation, or the business works across brands, clients or markets.
No. Employees choose the AI specialist for the task, complete a simple guided input and get a result based on company knowledge, rules and methods. Miiwa builds in the complexity in advance.
Yes. Each workspace is isolated so data, context and knowledge do not mix. Agencies can have one workspace per client; companies can separate brands, teams, markets or business areas.
Shared company context can contain brand, tone of voice, rules, product knowledge, audiences and approved material. Each specialised AI agent can also access exactly the documents, data and knowledge areas relevant to its job. Access is specific to the task, rather than shared with everyone.
No. Miiwa can use leading AI models from OpenAI, Anthropic and Google, as well as compatible model endpoints. Choose models for the task and work across markets without building your organisation’s AI work around a single provider.
ChatGPT and Claude are powerful general tools. In a typical chat, employees still supply context, choose methods, drive the process, decide next steps and assemble the result. In Miiwa, company context and the working process are built in as a shared foundation. Employees choose the digital specialist instead of building the task from scratch in a new chat.
We start with specific processes where the potential is clear. Over 4–6 weeks, we map the work and knowledge required, build and test the digital AI specialists and put them to use on real tasks.
In a short online demo, we show how Miiwa works day to day, how your context, knowledge and methods come together in workspaces, and how specialised AI agents access the knowledge they need. See how this can increase capacity, improve consistency and make specialist knowledge scalable across your organisation.