NewEnterprise AI workshops for Claude & Copilot

Enterprise architecture & AI that runs itself.

We bridge the gap between complex software design and operational execution — making high-tech efficiency close and attainable.

ClaudeMicrosoft 365 CopilotCopilot StudioAgentic workflowsERP middlewareCRM automationLegacy migrationPredictive analyticsCustom SaaS
What we do

Where cutting-edge innovation meets attainable efficiency.

Three disciplines, one operating system for the modern enterprise.

01 — Audit

Evidence-based strategic audits

Data-driven discovery that surfaces the exact bottlenecks standing between your team and autonomous performance.

02 — Integrate

Zero-friction middleware & system sync

Bespoke middleware and API orchestration so your ERP, CRM, and legacy systems speak the same language — no manual handoffs.

03 — Automate

AI agents & enterprise AI adoption

Purpose-built agents deployed into your workflows, plus hands-on enablement so your people get real value from Claude and Copilot.

New · Enterprise AI

AI workshops & implementation for Claude and Copilot.

Licences don't create value — adoption does. We train your teams on the AI tools they already have, then implement the workflows, agents, and guardrails that make it stick.

  • Role-based workshops for leadership, operations, sales, and engineering
  • Use-case discovery mapped to measurable time savings
  • Secure implementation inside your existing compliance perimeter

Claude for the enterprise

Hands-on training and rollout for Claude — Projects, shared knowledge, long-document analysis, writing and research workflows, and Claude Code for engineering teams.

Microsoft Copilot

Microsoft 365 Copilot adoption across Outlook, Teams, Word, and Excel — plus custom agents built in Copilot Studio and connected to your business data.

Governance & guardrails

Acceptable-use policy, data classification, access controls, and adoption metrics — so AI scales safely instead of becoming shadow IT.

Executive briefing

Align leadership on opportunity, risk, and where AI moves the numbers.

Team workshops

Role-based, hands-on sessions using your real documents and workflows.

Pilot build

Ship 2–3 high-value use cases with measurable before/after baselines.

Rollout & enablement

Scale licences, governance, champions, and ongoing support.

Outcomes

Transforming enterprise complexity into autonomous performance.

Every engagement starts with a clear-eyed audit and ends with infrastructure that runs itself.

4–10 wks

Typical path from discovery to production for integration work.

2 qtrs

When clients typically see measurable efficiency gains post-deployment.

100%

Of autonomous actions audit-logged inside your compliance perimeter.

FAQ

Straight answers.

The questions enterprise leaders ask before committing to a build.

Ask us something else
How long does a typical system integration take?

Most middleware and systems-integration engagements move from discovery to production in 4–10 weeks, depending on the number of legacy endpoints involved. We scope a fixed timeline during the initial architecture audit, so there are no surprises once execution begins.

Should our team use Claude, Microsoft Copilot, or both?

It depends on where your people work and what you need AI to do. Copilot is a natural fit for organizations standardized on Microsoft 365, while Claude excels at long-document analysis, writing, research, and coding workflows. Many enterprises use both. Our workshops map your use cases to the right tool, then we implement it with the right guardrails.

How do custom AI pipelines handle existing security compliance?

Every AI workflow we deploy is built inside your existing compliance perimeter — SOC 2, HIPAA, or PCI-DSS boundaries included. We isolate model access with scoped credentials, audit-log every autonomous action, and never route sensitive data through third-party training pipelines.

What is the ROI timeframe?

Clients typically see measurable efficiency gains — reduced manual processing hours, faster pipeline conversion, or lower error rates — within the first two quarters post-deployment. Our audits include a projected ROI model before you commit to a build.

Do you work with teams that have no existing technical infrastructure?

Yes. A significant share of our engagements start from a strategic audit for teams operating on spreadsheets and disconnected tools. We architect the foundational stack from the ground up, sized to where the business is today and where it is scaling toward.

Can PrismCore support an already in-flight project run by an internal team?

Absolutely. We regularly embed as an extension of internal engineering teams, taking ownership of a specific integration, AI pipeline, or platform module without disrupting the surrounding roadmap.

Start a conversation

Let's architect what's next.

Tell us where you are today. We'll come back within one business day with a clear next step — whether that's an audit, a workshop, or a build.