dynaflow.ai
Strategy · Consulting · Development

We build AI Operating Systems for growing companies.

A unified company knowledgebase grounding every AI surface

Most companies are paying for Claude, ChatGPT, Copilot, and a dozen point tools that don't talk to each other. Every prompt restarts from zero. AI is in the building, but it isn't compounding.

We install the layer that makes it compound.

The Three Pillars of the AIOS

Audit the org. Unify the intelligence. Ship the agents.

Three pillars in every install. One AIOS. 90 days.

Pillar 01

Knowledge Graph & AI Audit

Map the org. Find the wins.

We map your business into a knowledge graph then run ML over it to surface bottlenecks and the highest-ROI agents. We never write code before we map. This is where every install starts.

  • Stakeholder interviews across teams
  • Workflow and tooling audit
  • Knowledge graph mapped from your stack
  • AIOS roadmap delivered
Pillar 02

Unified Company Knowledgebase

One source of truth. Every tool reads from it.

A single context layer that sits above Microsoft, Google, Slack, your CRM, and the rest of your stack. Claude, ChatGPT, Gemini, and Copilot all read from the same knowledgebase. No vendor lock-in. No prompt-from-zero.

  • Unified knowledgebase live in your environment
  • MCP connections into existing data sources
  • Claude rolled out across the team
  • Governance and evaluation in place
Pillar 03

AI Agents & Automations

Production agents that do the work.

Voice systems, internal copilots, and workflow automations. Each agent reads from the unified knowledgebase, so the output stays consistent with how your business runs.

  • Functional agents tailored to your pain
  • Voice via ElevenLabs / Retell where it fits
  • Orchestration via Trigger.dev / N8N
  • Manager dashboards and full audit trail
AIOS vs fragmented AI tools

One operating system replaces ten tools.

Most organisations today are running ten different AI tools that don't talk to each other, locked inside one vendor ecosystem, grounded in nothing. The AIOS replaces all of that with a single operating layer.

Comparison
Dynaflow AIOS
Most companies today
Single source of truth
Yes
No
Agents grounded in real context
Yes
No
Tools to manage
One OS
5 to 15 point tools
Vendor lock-in
No
Yes
Time to production
Weeks
6 to 12 months
Governance and evaluation
Built in
Missing

Want a quick overview?

An 8-minute walkthrough of what we install and how we work.

Engagement roadmap

From audit to self-improving AI in 90 days.

A focused three-month engagement that takes your organisation from scattered AI experiments to a governed, self-improving operating system.

01
Month 1

Audit & Discovery

Stakeholder interviews. Workflow audit. Knowledge graph mapped from your stack. AIOS roadmap delivered.

02
Month 2

Foundation & First Agents

Unified knowledgebase live. Claude rolled out across the team. First production agent shipped. Governance in place.

03
Month 3

Knowledge Graph & ML Setup

ML over the knowledge graph. Self-improving feedback loops. Cross-agent context sharing. Continuous tuning.

Month 4+

Your team owns it

After day 90, your team runs the AIOS. We stay on retainer for iteration, new agents, and continuous evolution.

Built on what your team already uses

We scale around the best tools, not around ourselves.

We don't over-engineer. If your team lives in Claude, ChatGPT, or Gemini, we wire them into the AIOS. One unified knowledgebase underneath, the surfaces your team already loves on top.

Anthropic

Claude

Projects, memory, and artifacts your team already uses every day. We plug Claude into the unified knowledgebase so every conversation is grounded in real company context.

OpenAI

ChatGPT

If your team lives in ChatGPT, we build Custom GPTs and connect them to the AIOS. Same knowledgebase, same context, same answers as the rest of the stack.

Google

Gemini

For teams running on Google Workspace, we wire Gemini into the AIOS so its native Drive and Gmail context combines with your unified knowledgebase instead of replacing it.

Founder-led

Twenty years of doing the work.

Mike Armstrong, Founder, Dynaflow
Founder

Mike Armstrong

20+ years placing senior tech talent across Asia Pacific. 2,500+ warm executive relationships across the region. Now installing the AI Operating System he spent two decades watching companies need.

Build in public

See it working.

New demos every week.

Run your AIOS with us.

We take a small number of AIOS installs each quarter. Apply, and we'll come back with where to start.

Apply