Strategy without execution is just a presentation. We build the thing.
The AIOS blueprint means nothing until it runs. We integrate the tools, automate the workflows, ship the custom builds, and stay until your team is using it in real work.
Four implementation services. One operating system.
Most engagements include all four. Some only need one. The AIOS Design tells us which.
AIOS Deployment
The full AIOS Design becomes a working system inside your business. Tools provisioned, workflows redesigned, people onboarded, governance live, dashboards in place to measure what is working. This is the rollout of everything the design specified.
Typical deployment runs 6 to 14 weeks depending on AIOS complexity and your team's capacity to absorb change.
Scope an AIOS Deployment- Tool stack provisioned, configured, and access-controlled
- Redesigned workflows live in your team's day-to-day
- Governance layer enforced — policies, guardrails, oversight
- Adoption dashboards measuring usage, quality, and impact
- Internal champions identified and equipped to run it
- 30-day post-deployment refinement window included
Tool Integration
AI tools that talk to your business systems. ChatGPT or Claude wired into your CRM. Notion AI pulling from your data warehouse. Custom agents reading and writing to your stack. The work AI was supposed to make easier — actually easier, because the data flows where it needs to go.
Scoped per integration. Most projects deliver 3 to 8 working integrations over 4 to 8 weeks.
Scope Tool Integration- AI assistants wired into your CRM (Salesforce, HubSpot, Pipedrive)
- Notion AI, ClickUp AI, Linear AI grounded in your real data
- Custom GPTs and Claude Projects with your knowledge base
- Email and calendar agents that draft, summarise, schedule
- Customer support AI grounded in your help centre
- Document and contract AI wired into your file storage
Workflow Automation
The work that used to take a person three hours, takes the system three minutes. Lead enrichment, content drafting, report generation, customer follow-up, data cleanup, internal routing — the repetitive work that consumes your team's week, running on its own.
Each automation is scoped, built, tested in your environment, and handed over with documentation. Build platforms vendor-agnostic — we use whatever fits your stack.
Scope Workflow Automation- Inbound lead qualification, enrichment, routing
- Sales call summary + CRM update + follow-up draft
- Weekly and monthly report generation across functions
- Customer support triage, draft replies, escalation routing
- Content production pipelines — drafting, editing, publishing
- Document review, data extraction, contract markup
Custom AI Development
When off-the-shelf will not do. Custom agents trained on your data, internal AI products for your team or customers, RAG systems that understand your domain, multi-step workflows orchestrated end-to-end. Built right, deployed properly, monitored once it is live.
Engagement is shaped around the build. Discovery and architecture first, then iterative delivery in 2-week sprints. Most builds ship to production in 6 to 16 weeks.
Scope a custom build- Custom AI agents and copilots for internal teams
- RAG and knowledge-retrieval systems grounded in your data
- Customer-facing AI products and embedded assistants
- Multi-step agentic workflows with orchestration and guardrails
- Fine-tuned and prompt-engineered models for your use case
- Production deployment with monitoring, evaluation, rollback
We do not call a project done until AI is running inside your business — not just installed on someone's laptop.
The handover is not the demo. The handover is your team using the system in real work, the metrics moving in the right direction, and the AIOS holding up the first time something goes wrong. Until that point, we are still on the project.
Runs in your environment, not ours
Everything we build is deployed on your stack with your accounts, your data, your governance. We do not host your AI hostage.
Adoption measured before handover
We track real usage by real users for 30 days before calling the project complete. If the team is not using it, we did not finish.
30-day refinement window
Every deployment includes a 30-day post-handover window for tuning, edge-case fixes, and adjustments based on real-world use.
Tool-agnostic. Stack-agnostic. Outcome-obsessed.
We have no preferred vendor. The tool that fits your business is the tool we use. Here is the stack we have shipped against — and we add to it as the field moves.
If your stack is not on this list, we will work with it. The point is the outcome.
Four phases. Predictable cadence. No surprises.
Scope & architecture
We translate the AIOS Design into a build plan. Tools chosen, integrations mapped, success metrics agreed. Typically 1–2 weeks.
Build in sprints
Two-week iterations. You see working software every sprint, not a slide deck. Adjustments happen as we learn.
Deploy & enable
System live in your environment, your team onboarded, governance enforced, dashboards reporting. Adoption tracked from day one.
Refine for 30 days
Post-handover window for edge cases, edge users, and the things real production exposes. The project ends when it actually works.
“The handover is not the demo. The handover is your team using the system in real work.”
Tell us what you want running by quarter end.
Most implementation engagements begin with an AI Audit so we know what we are building toward. A 15-minute Discovery Call is the fastest way to find out whether your build is something we should take on.