Deploy proven AI tools—configured, integrated, and adopted.
We evaluate, deploy, and integrate the right SaaS AI tools into your workflow—configured to your processes, secured to your standards, and adopted by your team. Not just installed.
Typical deployment: 2-4 weeks | Available after completing the 14-Day Sprint
Good fit when...
Your team knows AI tools exist but hasn't found the right one—or bought one that nobody uses.
- Meeting transcription + action items
- Team-wide AI access (secure)
- Knowledge search + documentation
What we handle
End-to-end deployment: from evaluation to sustained adoption.
Tool evaluation
We assess your workflows and match them to the right AI tools—no vendor hype, just fit analysis against your real constraints.
Security + compliance review
Data handling, SSO, permissions, and audit requirements reviewed before deployment—not after.
Configuration + customization
Workspaces, templates, prompts, and policies configured to your team's specific processes and terminology.
Integration with your stack
SSO, calendar, CRM, Slack, and document systems connected so tools produce real outcomes in the places your team already works.
Team training + adoption
Hands-on onboarding, usage guides, and champion programs so the tools stick—not sit unused after week two.
Ongoing support
Usage monitoring, license optimization, and vendor updates managed so you get sustained value from every tool.
Deployment process
Tools we commonly deploy
We're vendor-neutral. These are examples—we evaluate against your specific needs.
Otter.ai
Meeting transcription + summaries
Fireflies.ai
Call recording + CRM sync
Microsoft Copilot
Productivity across Office suite
Notion AI
Knowledge management + docs
Cursor
AI-assisted development
ChatGPT Enterprise
Secure team-wide AI access
What's included
A deployment that sticks: evaluation, configuration, integration, and adoption.
Needs assessment
We map your workflows, identify friction points, and recommend tools with proven fit—not the latest hype.
Deployment + integration
SSO, permissions, workspace setup, and system connections configured for production use from day one.
Adoption + measurement
Training sessions, usage dashboards, and feedback loops so adoption is tracked and sustained.
Delivery
From evaluation to embedded adoption
A structured process so you don't end up with another unused subscription.
Delivery
Step 1
●Assess workflows + requirements
We map your team's pain points, existing tools, security requirements, and budget to find the right fit.
Step 2
●Evaluate + recommend
We test candidate tools against your real use cases, review security posture, and present a clear recommendation.
Step 3
●Deploy + integrate
We configure workspaces, connect to your systems (SSO, calendar, CRM, Slack), and set up governance policies.
Step 4
●Train + monitor adoption
We run onboarding sessions, track usage, and iterate on configuration until the tool is embedded in daily work.
Common questions
Short answers. Clear scope.
Is this just license procurement?+
No. The license is the easy part. We handle evaluation, security review, configuration, integration, training, and adoption tracking—the work that determines whether a tool actually gets used.
What tools do you typically deploy?+
It depends on your workflow. Common choices include Otter.ai, Fireflies, Microsoft Copilot, Notion AI, Cursor, and ChatGPT Enterprise—but we evaluate against your specific requirements, not a preferred vendor list.
How do you handle security concerns?+
We review each tool's data handling, SSO support, permissions model, and compliance certifications before recommending it. We configure access controls and audit logging as part of deployment.
What if the tool doesn't get adopted?+
That's the whole point of this service. We don't just install and walk away—we train teams, track usage, identify friction, and adjust configuration until adoption is real.
Next step
Want AI tools that actually get used?
Tell us what your team is struggling with. We'll recommend the right tool and handle deployment end-to-end.