Which AI platforms do you work with?

OpenAI, Anthropic, Microsoft Copilot, Azure AI, Google Gemini and open-source models via LangGraph and MCP — chosen against your data, governance and cost profile.

How do you handle governance and safety?

Every agent has a defined scope, guardrails, evaluation set and human review points. We document governance to be defensible to your board and auditors.

Can you build on top of Microsoft 365?

Yes — much of what we build lives inside Microsoft 365, SharePoint, Teams, Power Platform and Azure.

Do you replace consultants with agents?

We use agents to remove repetitive engineering and administrative work so your experts spend time where they add most value.

What does a first project look like?

A scoped 8–12 week engagement targeting one specific bottleneck with measurable acceptance criteria.

Offering 02

AI & Automation Implementation

We deliver AI and automation that removes work — grounded in your workflows, not vendor slideware.

Book a discovery call All Offerings

Business problem

Why most AI projects stall

AI has been pointed at technology instead of workflow. Pilots demonstrate capability but never move production numbers. Meanwhile teams still copy-paste between systems, re-key data, and manually produce documents that could be generated.

Pilots that never scale
Unclear ROI on AI investment
Concerns about governance and safety
Teams unwilling or unable to adopt

How we solve it

How we implement AI that lands

We start from the workflow, not the model. Every implementation is scoped against a specific bottleneck with measurable acceptance criteria and a change plan that gets the tool into the flow of work.

01
Opportunity mapping
Which processes have the highest ROI for AI or automation.
02
Agent design
Design agentic workflows that read source data and generate outputs.
03
Build & integrate
Wire into your source systems — Microsoft 365, engineering tools, dashboards.
04
Enablement
Train the teams that use it, and the leaders who need to trust it.
05
Measure & tune
Track adoption, accuracy and hours removed. Iterate on both.

Capabilities

What we deliver

AI strategy
AI governance
AI tool selection
Agentic workflow implementation
Knowledge assistants
Document automation
Reporting automation
Business process automation
Staff enablement
Change management

Typical outcomes

Manual hours removed: 62%
Adoption rate: 89%
Time-to-answer: 8×
Payback: < 12 mo

Frequently asked

: OpenAI, Anthropic, Microsoft Copilot, Azure AI, Google Gemini and open-source models via LangGraph and MCP — chosen against your data, governance and cost profile.
: Every agent has a defined scope, guardrails, evaluation set and human review points. We document governance to be defensible to your board and auditors.
: Yes — much of what we build lives inside Microsoft 365, SharePoint, Teams, Power Platform and Azure.
: We use agents to remove repetitive engineering and administrative work so your experts spend time where they add most value.
: A scoped 8–12 week engagement targeting one specific bottleneck with measurable acceptance criteria.