AI Solutions
We move executives from AI curiosity to measurable AI advantage — with custom AI agents, agentic systems, Microsoft Copilot rollouts and governed private-model deployments that plug into your existing stack.
We move executives from AI curiosity to measurable AI advantage — with custom AI agents, agentic systems, Microsoft Copilot rollouts and governed private-model deployments that plug into your existing stack.
40+
AI deployments shipped
12wk
Typical time to first live agent
3.2x
Avg productivity lift, first quarter
100%
Human-in-the-loop by design
The problem
Leadership sees the potential. Teams are exhausted by demos that never ship. Meanwhile competitors are quietly compounding advantage — one agent, one automated workflow, one governed copilot at a time. The gap is not talent. It is architecture, governance and delivery discipline.
What we deliver
Strategy, build, integration, governance and enablement. Every layer delivered by senior AI engineers, not junior operators reading playbooks.
A structured diagnosis of where AI creates real leverage in your business — and where it doesn't.
Purpose-built AI employees for sales, service, marketing, HR, finance and operations.
Multi-step agents that reason, plan and execute — with human approval at the decisions that matter.
Turn dormant Copilot licences into measurable productivity across your workforce.
Enterprise knowledge bases and private models that never leak IP into the public internet.
Board-ready AI policy, risk register and acceptable-use frameworks aligned to ISO 42001.
How we deliver
No open-ended R&D. Every phase has a definition of done, a decision gate and a measurable outcome your board can defend.
Phase 01 · Diagnose
We interview leaders, review data, security and systems, and map every viable AI use case in your business — sized by value and effort.
Phase 02 · Design
We design the technical architecture, integration model and governance framework — and lock in a 12-month roadmap with clear milestones.
Phase 03 · Build
We build the first two use cases end-to-end — from prompt engineering and tool integration through testing, evaluation and go-live.
Phase 04 · Scale
We train your teams, embed governance, monitor performance and roll out subsequent agents — turning AI from initiative into operating model.
The AI delivery lifecycle
Discover → Design → Build → Validate → Operate. No pilots without a production path. No production without governance. No governance without measured business value.
Map high-leverage AI opportunities across the business.
Architect the agent, its tools, guardrails and integrations.
Engineer the planner, executor and reviewer with your data.
Red-team, benchmark and secure sign-off from risk and legal.
Deploy under monitoring and continuously improve in production.
A closed loop, not a straight line. Insights from Operate feed straight back into Discover — new opportunities, new evaluation criteria, new agents queued for the next release.
Map high-leverage AI opportunities across the business.
Architect the agent, its tools, guardrails and integrations.
Engineer the planner, executor and reviewer with your data.
Red-team, benchmark and secure sign-off from risk and legal.
Deploy under monitoring and continuously improve in production.
Agentic AI
Agentic AI moves beyond chatbots. We architect multi-step systems that plan, use tools, call your APIs, escalate to humans on the decisions that matter, and hold state across long-running workflows. The result: real business operations executed by governed AI — with full audit, rollback and observability.
82%
of admin work automated in service ops pilots
24/7
queue coverage with zero seat-cost scaling
9d
average time from spec to first live agent
Decomposes a business goal into a sequence of steps, chooses tools, and reasons over context.
Calls APIs, queries data, writes to systems of record — with typed inputs and structured outputs.
Grades each action, enforces policy, requests human approval for anything high-stakes.
Coordinates multiple agents, retries, escalations and long-running workflows across days or weeks.
Guardrails as first-class citizens
Executive AI Coaching
Four private engagements a month with a senior AI advisor. Confidential. Practical. Focused on your business, your board, your calendar. Built for founders, CEOs and executive teams who refuse to be the last in their sector to move.
A private, jargon-free grounding in how modern AI actually works — and where it doesn't.
Working sessions with your leadership team to shape the AI thesis for the next 12 months.
We prepare and co-present the AI narrative your board, investors and regulators want to hear.
A private stack of copilots, prompts and workflows built around how you actually run your week.
The engagement
Every engagement is bespoke and confidential. We work inside your calendar, your systems and your board rhythm. Applications are reviewed personally — we take on a small number of executive clients each quarter.
Measured outcomes
30–60%
Time recovered
on qualifying admin, service and content tasks.
2–5x
Sales throughput
on prospecting, qualification and follow-up workflows.
-45%
Response times
across customer service and internal helpdesk queues.
6–14x
Return on invest
measured on year-one deployments, net of licensing.
“They didn't sell us AI. They rebuilt how our teams work, made it defensible to the board, and shipped agents that our people actually use every day.”
Tooling & partners
Foundation models
Agentic frameworks
Data & retrieval
Governance
Frequently asked
All private-model deployments run inside your Azure, AWS or GCP tenant — data never trains public models. We layer identity, DLP, Purview labelling and full audit logging on every integration.
No. We are Microsoft-first because most of our clients are, but we routinely deliver on OpenAI, Anthropic, Google Vertex, AWS Bedrock and open-source models. We recommend based on fit, not vendor loyalty.
The AI Opportunity Map and Readiness Audit is a fixed-scope engagement. From there, most clients budget between $60k–$220k for the first two production agents. We share indicative pricing openly during the audit.
Yes. Roughly half our engagements are co-delivered with internal engineering, data or product teams. We upskill your people as we ship — the goal is capability transfer, not lock-in.