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A question about getting started
A new customer needs help choosing the next setup step.
Customer context ready
Their goals, preferences and earlier questions are in view.
Adapt AI to how your company works.
MyaiOne gives mid-market companies software, operating systems, and expert support for AI Adaptation.
Illustrative customer Concierge workflow with sample data. A Concierge understands each customer's context, uses approved guidance from a Role Assistant, and tailors the next step. Staff handle decisions that need human judgment.
Find the signal. Enable your people. Rise to the top.
Without trading away the people who got you there.
Works with all AI agents.
- ChatGPT / Codex
- Claude
- Gemini
- GitHub Copilot
- Your AI agent
How it works
Download the planning skill and add it to an agent that supports skills. For any AI chat, upload or paste the instructions, then describe your company and the work you want to adapt.
For a skills-compatible agent, extract the download into its skills folder. The package contains myaione-transformation-planning-agent/SKILL.md.
How the journey typically unfolds
Your company's competitiveness starts with where you are today. Four parallel tracks add to it over 36 months, against the top 1% of your sector.
About this chart
Illustrative, relative scale. Explore a possible AI Adaptation journey, not a forecast or a commitment. Select a track and a month to see its milestones.
Hover or drag across the chart, or use the month slider. Arrow keys on the chart move a month. Shift moves a quarter. Select a track or its band to see its milestones.
View illustrative milestones
Software Factory
Month 2 · Scope and timing to be agreed
Forward deployed engineer on the backlog. A MyaiOne forward deployed engineer runs development backlog items through a software factory alongside the client team. A senior MyaiOne engineer provides support.
Month 6
Top engineers running factories. Two or three senior engineers run factories. They tackle bulk work that the team would otherwise defer as technical debt.
Month 9
Factory adoption spreading. More of the development team routes work through factories, supported by the engineers who started first.
Month 12
Factory adoption widening. Most day-to-day development work passes through a factory. The team reviews adoption at the quarterly check-in.
Month 18 · Scope and timing to be agreed
Principal engineers tune and teach factories. Two to four of the client's principal engineers adjust factory pipelines and teach others to use them. This is added to their job descriptions and seat expectations.
Month 24
Full team working in factories. The whole development team works in a factory approach.
Month 30
Year three: compounding. Principal engineers refine factory pipelines each quarter, and improvements are reused across the whole team.
MyaiMeet
Month 3
Off-hours sales coverage live. An AI assistant qualifies inbound leads and builds rapport outside sales hours, then hands them to a salesperson the next working day.
Month 6.5
Full qualification live. Sales team assistants handle all initial lead qualification. Salespeople take over from the first qualified conversation.
Month 13 · Scope and timing to be agreed
Sales channels and CRM reviewed. The team reviews existing sales channels and customer records before deciding which systems to retain or connect.
Month 27 · Scope and timing to be agreed
Customer communication connected through MyaiMeet. Sales, account management and support connect customer conversations through MyaiMeet. Staff assistants help with scheduling, agendas, notes and background research.
Content Factory
Month 2
Content factory: Level 1. The marketing team starts publishing at the first intensity level. The content factory drafts, and a documented method decides what goes out.
Month 4
Content factory: Level 2. The marketing team moves to the second intensity level and publishes more often.
Month 10
Content factory: Level 3. After the consolidation quarter, the marketing team moves to the third intensity level.
Months 4–7: Consolidation: let it take root. No new content level for about a quarter. The marketing team settles Levels 1 and 2 into its routine and keeps improving them.
MBOS
Month 3
MBOS introduced to leadership. MyaiOne's COO and assistants introduce MBOS to leadership. They adapt it to existing frameworks such as OKRs, EOS, balanced scorecards and seat evaluations.
Month 6 · Scope and timing to be agreed
First quarterly cycle run in MBOS. Leadership sets quarterly goals and reviews business-as-usual KPIs in MBOS. MyaiOne's COO facilitates the review.
Month 12 · Scope and timing to be agreed
Annual plan built in MBOS. Leadership sets the annual goals in MBOS, and the quarterly goals are linked to them. MyaiOne’s COO facilitates.
Month 19
Factory skills written into seat expectations. The leadership team adds software factory skills to the seat expectations for engineering roles that run factories.
Month 24 · Scope and timing to be agreed
Leadership runs the MBOS cadence. The client's leadership team runs quarterly and annual reviews in MBOS without MyaiOne facilitation. MyaiOne's COO moves to periodic check-ins.
Month 27 · Year 3
MyaiMeet · Month 27 · Scope and timing to be agreed
Customer communication connected through MyaiMeet
Sales, account management and support connect customer conversations through MyaiMeet. Staff assistants help with scheduling, agendas, notes and background research.
Your company (total)Top 1%Where you start
The four pillars of MyaiOne AI Adaptation.
The capability underneath.
AI expertise, infrastructure, and experienced leaders give us the depth to deliver all four pillars. Five capabilities make that possible.
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Deep AI expertise
Explore FactoryWe build the right harness and choose the right approach for the task.
- Task-specific open source model selection.
- Small-footprint inference.
- Fine-tuning and training smaller models.
- Classical machine learning where it outperforms an LLM.
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Our own infrastructure
Explore WorkspacesControl of the full value chain brings infrastructure capabilities to smaller companies.
- GPU clusters with tensor cores and traditional rendering capabilities.
- Data centres in the US, EU, and Asia.
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Deep human expertise
Meet the team- CEO
- Revenue, marketing, and product leadership as CRO, CMO, and CPO, in companies up to around 300 employees.
- COO
- Owns MBOS, our Business Operating System.
- CTO
- Deep AI, ML, and systems architecture expertise. Builds large systems with AI through one Factory or several in parallel.
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Self-hosted when needed
Discuss your deploymentRun on your cloud when compliance, regional requirements, or your own model calls for it. Your deployment can fit your company's requirements.
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Published roadmaps
View the roadmapSee product progress in our published roadmap. A research roadmap and customer success stories from the current cohort are next, giving early adopters a view of what is coming.
Our Mission
Why MyaiOne exists, how we use AI, and the partners that we want.
AI must empower employees. It must not replace them.
AI creates new work inside each company. New roles appear in established and new markets.
These roles and workflows are not mature. Tools are separate, and workflows change each day. Companies must learn new methods. Good implementation can already cause a large increase in output.
This output can become a durable advantage. Companies can use the saved time for better customer work, stronger systems, and new revenue.
MyaiOne helps mid-market companies get these AI-powered results quickly. We help companies use these workflows safely and solve previously difficult problems.
MyaiOne is an AI transformation company. We use AI to increase the time that employees give to high-value work. This work includes strategy, client interactions, detailed problem-solving, and team innovation. We do not use AI to replace employees.
We believe the best companies have servant leaders. These leaders want their coworkers and customers to succeed. Company growth is stronger when companies take care of their teams. These teams then take care of the company. AI can weaken or strengthen this principle. Leaders make this choice.
Some companies do not work this way. Some leaders do not have this belief. This principle is part of our method. We want clients who share this vision.
AI can remove much repetitive work from employees. Company leaders must then select how to use the saved time. They can reduce the team, or they can move employees to higher-value work.
We believe mid-market companies must give employees AI tools. Teams can use the saved time to grow the company together.
Each MyaiOne decision follows one belief. AI must empower employees. It must not replace them.
If you are a servant leader at a $20M to $50M ARR company, we want to talk to you. Complete the Talk to Us form, or contact our CEO, Todd Robinson, on LinkedIn.
Beliefs that guide us to high-value work.
MyaiOne has seven core beliefs:
Transformative. AI-powered roles will change how each company operates. These roles will give employees a new type of leverage.
Beneficial. AI must increase what teams can do. It must also protect ownership, trust, and continuity in the company.
Timely. This change occurs at this time. Small and medium businesses cannot wait until enterprise methods become the standard.
Experiential. The best AI systems improve through real work, feedback, and practice in each company.
Employee-led. AI environments must increase human judgment, creativity, and skill. Employees must keep accountability.
General. One platform must support many roles, tools, and workflows. It must also respect how each team works.
Continual. Each useful improvement must add reusable skills, shared memory, and stronger teams.
Plan your next step in AI Adaptation.
Tell us which part of your company you want to adapt with AI. We will connect you to the applicable product team.