Al Rafay Consulting

Commercial real estate teams still spend 𝗵𝗼𝘂𝗿𝘀 reading leases and retyping key terms into spreadsheets.

𝗔𝗯𝘀𝘁𝗿𝗶𝗮 𝗶𝘀 𝗼𝘂𝗿 𝗔𝗜 𝗹𝗲𝗮𝘀𝗲 𝗮𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁. 𝗜𝘁 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝘀 𝗹𝗲𝗮𝘀𝗲 𝗱𝗮𝘁𝗮 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗻𝗱 𝗵𝗲𝗹𝗽𝘀 𝘁𝗲𝗮𝗺𝘀 𝗰𝘂𝘁 𝗮𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝘁𝗶𝗺𝗲 𝗯𝘆 𝟵𝟬%.

What that changes: → Analysts review instead of retype → Data lands in one consistent structure → Portfolio questions get answered faster

Built on Azure. Production-grade, not a demo.

𝗦𝗲𝗲 𝗶𝘁: 𝗮𝗯𝘀𝘁𝗿𝗶𝗮.𝗰𝗼𝗺

𝗕𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝗯𝘂𝘆 𝗮 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗹𝗶𝗰𝗲𝗻𝘀𝗲 𝗼𝗿 𝗯𝘂𝗶𝗹𝗱 𝗮𝗻 𝗮𝗴𝗲𝗻𝘁, 𝗮𝘀𝗸 𝗳𝗼𝘂𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀:

We built a free AI Readiness Score to show you where you stand across Azure, SharePoint, and M365.

Get yours: alrafayglobal.com/contact

𝟱𝟱𝟳% 𝗴𝗿𝗼𝘄𝘁𝗵 𝗶𝗻 𝟯 𝘆𝗲𝗮𝗿𝘀. 𝗜𝗻𝗰. 𝟱𝟬𝟬𝟬 #𝟳𝟰𝟵. 𝗜𝗻𝗰. 𝗥𝗲𝗴𝗶𝗼𝗻𝗮𝗹𝘀 #𝟱𝟳 (𝗠𝗶𝗱𝘄𝗲𝘀𝘁).

Numbers like these make for a good headline. They are not the reason clients stay.

Here is what we credit instead:

→ We stay in one ecosystem (Microsoft) and go deep, not wide → We use AI inside our own delivery: coding, QA, documentation, planning → We build for specific industries, not generic IT → 12+ years of doing the unglamorous work well

100% client retention is the number we are most proud of.

𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗲 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴 𝗮 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝗱𝗶𝗱 𝘁𝗵𝗮𝘁 𝗺𝗮𝗱𝗲 𝘆𝗼𝘂 𝘀𝘁𝗮𝘆?

“We've now grown our work with SharePoint into a full-blown Business Intelligence platform that has created tremendous efficiency and value.”

That's a client who started with us 7 years ago on a single SharePoint project — and never left.

It's the quiet story behind our 100% client retention. We don't win logos; we build relationships that compound. A small workflow project becomes an intranet, becomes a BI platform, becomes a genuine partnership.

That only happens when the work earns the next project.

See what those partnerships have produced
| https://alrafayglobal.com/case-studies/centralized-business-intelligence/

5 myths about enterprise AI that are costing companies real money.



Myth 1: “AI will replace our team.” Reality: it removes the grunt work so your team does higher-value work. See: analysts freed from lease abstraction.



Myth 2: “We need a data science team first.” Reality: with Copilot and Copilot Studio, most valuable use cases need governance and clarity, not PhDs.



Myth 3: “It's too risky for regulated industries.” Reality: source-traceable, governed AI is built exactly for regulated environments.



Myth 4: “We'll wait until it matures.” Reality: your competitors are building the data foundation now. That lead compounds.



Myth 5: “It's all hype.” Reality: $6M saved, 78% faster contracts, 90% less abstraction time. The results are already here.



Save this and follow for more straight talk on enterprise AI.

You've watched us for two months. Ready to see where YOUR organization stands?

We've shared the frameworks, the case studies, and the products. Now here's the offer we've been building toward:

A free AI Readiness assessment.

In about 15 minutes, you'll get:

→ A clear picture of where your organization is on the AI curve
→ The specific gaps between you and a safe, valuable rollout
→ A concrete recommended next step — no obligation

3x Microsoft Solutions Partner. 300+ projects. 100% retention. We'll tell you the truth about where you stand.

Get your score — link in the comments 👇

Where is Microsoft + AI heading for enterprises? Our read on the next 12 months.

Three shifts we're watching closely:

1. From chatbots to agents — the conversation moves from “ask Copilot” to autonomous agents that complete multi-step work across your systems.
2. Governance becomes the gate — the winners won't be whoever adopts fastest, but whoever adopts with control. Traceability and security become buying criteria.
3. Data foundations decide everything — Fabric and clean, unified data will separate the orgs that scale AI from the ones stuck piloting forever.

The hype cycle is ending. The operational era is starting.

We're building for that era every day. Follow along.

One CRE team turned months of lease review into days. Here's the story.

A commercial real estate team faced a mountain of leases to abstract — the kind of backlog that ties up analysts for months and delays every downstream decision.

We deployed LeaseIntel, our AI abstraction solution:

→ Automated extraction of key lease terms at scale
→ Source-linked outputs for fast human verification
→ A backlog measured in months, cleared in days

The analysts didn't lose their jobs — they got them back. Freed from manual extraction, they moved to the analysis that actually needs a human.

Full case study below 👇

Setting up Intune? Avoid the enrollment mistake that locks you out later.

The trap: rolling out device compliance and conditional access policies before you've enrolled and tested with a pilot group.

Flip one wrong setting org-wide and you can lock users — sometimes admins — out of the very devices you're trying to manage.

Do this instead:

→ Pilot with a small test group first
→ Stage compliance policies before enforcing conditional access
→ Keep a break-glass admin account excluded from the policies

Rollouts should be boring. Save this so yours is.

“We'll just use Excel” isn't free. Here's what it's really costing your portfolio team.

Excel feels free because there's no invoice. The costs are just hidden:

→ Hours rebuilding the same reports every month
→ Version conflicts and broken formulas nobody notices until a decision's already made
→ Key knowledge trapped in one analyst's file
→ No real-time view when leadership needs an answer now

One client's “free” Excel reporting was costing $104K a year in time alone — before counting the bad decisions from stale numbers.

At portfolio scale, spreadsheets aren't a tool. They're a liability.

Ready to see the real cost? Let's talk.