EXAMPLE REPORT · PLACEHOLDER PROFILE

Larger real estate company · 120 employees · SAP + BIM 360 · AI in active use

AI READINESS REPORT

Maturity analysis

Maturity Scaling — Several processes supported by AI, signs of structure.

78/100

Tool stack

71/100

Processes

68/100

AI experience

72/100

Team

Summary

You are ahead of 90 % of German mid-market companies in your size class.

The tool stack is state of the art, the team has AI experience, ESG reporting is in production.

The bottleneck is no longer "introducing AI" but "systematising AI": governance, value measurement, scaling.

Three topics deserve focus now: first, a binding AI governance across all subsidiaries; second, replacing the ChatGPT shadow IT with Microsoft Copilot under EU Data Boundary; third, building an internal AI Center of Excellence with 2-3 dedicated roles.

At 120 employees and your maturity, an EBITDA impact of 8-12 % is realistic — that is the yardstick to hold yourself to.

About this profile: Group with project-development and portfolio arms. SAP S/4HANA RE-FX, Salesforce, Autodesk Construction Cloud, BIM workflows. 30-60 % of the team already uses AI regularly, ESG reporting runs via Deepki.

Score in detail · Where to start

Tool stack maturity

78/100

Enterprise stack with SAP S/4HANA RE-FX, Salesforce, Autodesk Construction Cloud, Deepki. All components are correctly chosen. The stack is not the problem — the bridges between are.

Improvement steps

→Activate Salesforce Einstein Trust Layer — you already use Einstein; Trust Layer masks PII before LLM calls.
→Evaluate SAP Joule — a generic S/4HANA component, but RE-FX-specific AI skills are on the roadmap.
→Autodesk Revit 2027 with on-board MCP — early adoption gives you an edge in BIM AI workflows.

Process digitisation

71/100

Reporting, ESG data collection and construction workflows are digitised. Weakness: transitions between tools are often still manual (e.g. SAP extract → Excel → investor memo).

Improvement steps

→Build an end-to-end investor reporting pipeline: SAP RE-FX → Power BI → Word/PDF — with Copilot for narratives.
→Consolidate site management protocols from Autodesk Build + Teams Premium.
→Extend the CSRD data pipeline with Deepki by adding AI-driven gap analysis.

AI experience

68/100

You are ahead of the industry median. 30-60 % of your employees use AI regularly — top quartile. But: without governance, shadow IT emerges.

Improvement steps

→Adopt a binding AI policy: which tools are approved, which data may go where, who trains whom.
→Build an internal AI Center of Excellence with 2-3 dedicated roles — multiplier effect in the group.
→Quarterly AI audit: which use cases run in production, what € impact is measurable.

Team adoption

72/100

Good adoption base. Your size makes friction between subsidiaries more likely — one is already advanced, another is just starting. You need to actively steer this.

Improvement steps

→Cross-subsidiary "AI & Data" steering committee with a clear mandate — monthly.
→Mandatory training format under the EU AI Act for all AI-operating employees — compliance + multiplier.
→Introduce AI OKRs: each subsidiary defines 2-3 AI outcome goals per half-year.

Top 3 immediate actions · What to do this week

Shadow-IT audit and migration to Microsoft Copilot Enterprise

What exactly

Currently 20-40 ChatGPT Free and Claude Personal accounts likely run uncontrolled in the group. That is a GDPR risk (up to €20m fine) and an EU AI Act compliance risk. Replace with Microsoft 365 Copilot E5 plus selective ChatGPT Enterprise.

How to implement

Security survey across the group (1 week), in parallel prepare M365 Copilot E5 licences. Adopt the AI policy, then roll out in three waves over 6 weeks.

Time investment

6-week programme, 0.5 FTE in operations + 0.3 FTE in IT

Expected result

Full GDPR/EU AI Act compliance, no data leak risk, group-wide consistent AI tooling.

AI Center of Excellence with 2-3 dedicated roles

What exactly

You have reached the critical size to justify a dedicated AI function: AI lead (€60-80k p.a.), AI engineer with n8n/Make/Claude API (€70-90k), multiplier/trainer (€50-65k). The investment pays back in 9-12 months.

How to implement

Prepare the Q3 budget, post the roles, start in parallel with external implementation support (e.g. AIGHT as transition partner).

Time investment

6-9 months to full staffing

Expected result

Internal AI sovereignty; multiplier for the 8-12 % EBITDA lever.

End-to-end investor reporting pipeline

What exactly

SAP RE-FX (rents, vacancy, P&L) + Argus Enterprise (valuation) + Deepki (ESG KPIs) → Power BI → AI-generated narratives → automatic dispatch to institutional investors.

How to implement

IT architecture workshop (2 days). Map data flows, define KPIs, Power BI as central layer. Copilot in Power BI for narratives. First pilot group of 3-5 investors.

Time investment

8-12 weeks build, 1 FTE project lead

Expected result

Saves 60-100 hours per quarter on report creation; higher consistency; faster investor cycle.

Quick wins · Implementable today or this week

Activate the Salesforce Einstein Trust Layer

You already use Einstein — the Trust Layer is included in your tier but masks PII before every LLM call. Mandatory for GDPR-compliant sales AI.

How: Salesforce Setup → Einstein Trust Layer → activate. Verify with IT whether the EU Operating Zone is booked.

Effort: 2 h setup· Impact: Eliminates a concrete GDPR risk in sales AI usage.

Construction daily reports from Autodesk Build via Copilot

Build collects daily logs — Copilot consolidates them into weekly reports for management.

How: Build export → Power Automate → Copilot in Word → weekly report.

Effort: 4-6 h setup once + 15 min per report instead of 90· Impact: 6-8 h/week saved in the site management team.

Change-order plausibility check with Claude

On large projects there are 10-25 change orders per project. An AI plausibility check before manual review.

How: Send the change-order PDF + the construction contract to Claude. Prompt: "Check against VOB/B §2 No. 5/6: justified, partly justified, not justified — reasoning in 2 sentences".

Effort: 5 min per change order instead of 90· Impact: Saves 80-90 min per change order; higher review quality in the first 24 hours.

CSRD gap analysis with Deepki + Claude

Deepki data often has data-quality gaps. Claude generates gap reports with supplier actions.

How: Deepki data export → Claude. Prompt: "Identify properties with data gaps >20 %, draft letters to utilities".

Effort: 15 min per quarter· Impact: CSRD audit readiness consistently high; less auditor effort.

Revit 2027 Assistant for BIM quantity take-off

Revit 2027 with on-board MCP allows natural-language queries against the model. Cost-estimating preparation is 40-60 % faster.

How: Revit 2027 for 2-3 BIM coordinators. First use case: quantity extraction for the handover.

Effort: 4 h training· Impact: 40-60 % faster quantity take-off; fewer take-off errors.

Aconex document search with Claude

Large projects produce 50,000+ documents in Aconex. Claude answers concrete search queries.

How: Aconex export for one topic area (e.g. "fire safety") → Claude. Prompt: "List all fire-safety-relevant statements and their open items".

Effort: 20 min per query instead of 2-3 hours· Impact: Significant lever in disputes and authority requests.

Your tool stack in detail · What stays, what goes

SAP S/4HANA RE-FX

Keep

Privacy: safe

The gold standard for your size. Balance-sheet compliance (IFRS 16, HGB) and group consolidation cleanly mapped. Weakness: high implementation and maintenance cost, consultant scarcity.

AI integration — how concretely

SAP Joule (Copilot) is already in S/4HANA. RE-FX-specific AI skills are on the roadmap — check at the next SAP release. Today: export reports as CSV → Power BI with Copilot.

Privacy in detail

Safe: RISE with SAP EU region (Frankfurt), DPA standard, BSI C5 certified.

Alternatives

No better alternative at your size.

Salesforce Sales Cloud + Einstein

Augment

Privacy: conditional

Solid CRM base. Einstein Trust Layer and Agentforce 1 are your AI levers — the question is only whether they are actively used.

AI integration — how concretely

Activate Einstein Trust Layer (mandatory for GDPR). Evaluate Agentforce for autonomous lead qualification. Book the EU Operating Zone if not already done.

Privacy in detail

Conditional: Hyperforce EU + EU OZ as premium required for strict GDPR. Without EU OZ, support staff from third countries can access.

Alternatives

No better alternative — Salesforce is the right choice at your size.

Autodesk Construction Cloud (BIM 360 successor)

Keep

Privacy: conditional

Right for BIM-centric projects. Autodesk AI with Quick RFI Create and Forecasting is already productive.

AI integration — how concretely

Activate Autodesk AI in Build. APS API for custom workflows to Claude — e.g. plan analysis, conflict detection. For Revit models: plan in the 2027 generation with MCP.

Privacy in detail

Conditional: EU region (Frankfurt) selectable; identity layer global. Verify data protection contracts.

Alternatives

Aconex (you also use it for large projects) complements it well.

Microsoft 365 + Copilot

Augment

Privacy: safe

Daily tool. Copilot licences are presumably only partially deployed — roll out fully.

AI integration — how concretely

M365 Copilot E5 for all knowledge workers. Power BI with Copilot as the central reporting layer. Teams Premium for automated meeting minutes.

Privacy in detail

Safe: EU Data Boundary strongly implemented, DPA in the master agreement.

Alternatives

None.

Deepki (ESG)

Keep

Privacy: safe

Right choice for CSRD/GRESB obligation. EU provider, high data quality.

AI integration — how concretely

Deepki ML for data quality natively. Extended: Deepki API → Claude for CSRD report narratives, gap reports, investor updates.

Privacy in detail

Safe: French provider, EU hosting.

Alternatives

No better alternative in this space.

Argus Enterprise

Keep

Privacy: safe

Gold standard for institutional real estate valuation. AI integration is weak but the tool itself is irreplaceable in investment.

AI integration — how concretely

Argus extracts → Power BI for investor visualisation. Sanity-check cashflow assumptions with Claude.

Privacy in detail

Safe.

Alternatives

No better alternative.

Recommended AI tools · Which ones for you, with privacy rating

Microsoft 365 Copilot E5

Privacy: safe

Best for

Group-wide AI standard. Outlook, Word, Excel, Power BI, Teams — all AI features in the EU tenant.

Privacy

Safe: EU Data Boundary, DPA in the M365 master agreement, no training with your data.

Pricing

€30/user/month on top of the M365 licence. At 120 employees: €43-46k/month — fast ROI through time savings.

How to start

Roll out in 3 waves over 6 weeks. First management + reporting, then sales, then broadly.

Claude Enterprise (Anthropic)

Privacy: safe

Best for

Selectively for specialist workflows: contracts, longer investor memos, Aconex search. Stronger than Copilot on very long texts.

Privacy

Safe: Enterprise plan with zero-retention, DPA, EU hosting available.

Pricing

Enterprise on request — typically €60-150 per user/month.

How to start

Pilot group of 10-15 people in contract management and investor relations. Evaluate after 8 weeks.

Salesforce Einstein + Agentforce

Privacy: conditional

Best for

CRM-native AI with Einstein Trust Layer. Given your Salesforce footprint, the obvious lever.

Privacy

Conditional: book the EU Operating Zone for strict GDPR.

Pricing

Included in Sales Cloud Enterprise/Unlimited, Agentforce from $75/agent/conversation.

How to start

Activate Trust Layer (free), then pilot 2-3 Agentforce workflows.

Autodesk AI in Construction Cloud

Privacy: conditional

Best for

BIM-specific AI: Quick RFI Create, submittal suggestions, forecasting. Native in the tool.

Privacy

Conditional: select EU region.

Pricing

Part of the Autodesk Build / BIM Collaborate licences.

How to start

Activate in the ACC admin — immediate impact for BIM coordinators.

Own Azure OpenAI Service deployment

Privacy: safe

Best for

Custom workflows with GPT-4 in your own Azure tenant. Stays fully in the EU tenant.

Privacy

Safe: in your Azure tenant, DPA with Microsoft, no training with your data.

Pricing

Pay-per-token (typically €1-3k/month at moderate usage).

How to start

An IT architecture decision together with the AI Center of Excellence — after its build-up in Q2.

Your 4-week plan

WEEK 1

AI governance + shadow-IT audit

Adopt a group-wide AI policy. Survey: which tools are used by whom with which data. First findings for clean-up.

Tools: Microsoft Forms + manual audit conversations

Outcome: Clear picture of current shadow IT, adopted policy.

WEEK 2

M365 Copilot E5 roll-out wave 1

Management + reporting teams + sales leadership (about 25 people) get Copilot. Three 30-min onboarding sessions.

Tools: M365 Copilot E5

Outcome: First 25 power users productive, EU tenant data uncontroversial.

WEEK 3

Einstein Trust Layer + Agentforce pilot

Activate Salesforce Einstein Trust Layer. Pilot two Agentforce workflows (lead qualification, email drafting).

Tools: Salesforce Einstein/Agentforce

Outcome: GDPR-compliant sales AI usage; first Agentforce experience.

WEEK 4

Investor reporting pipeline + AI CoE setup

Architecture workshop for SAP → Power BI → Word. In parallel: job postings for AI lead and AI engineer. Choose external implementation partner.

Tools: Power BI + Copilot; HR

Outcome: Pipeline architecture documented; AI CoE build-up initiated.

What to watch out for

Shadow IT risk: 20-40 consumer AI accounts with business data are GDPR-critical — fines up to €20m possible.
EU AI Act high-risk systems (Annex III) since 02.08.2025: automated valuations, tenant selection, credit checks — documentation and bias-testing duties.
CSRD reporting duty from FY 2025 — even though you are obliged, the data quality in Deepki is not yet audit-tight.
Subsidiary drift: without governance, subsidiaries develop differently, multiplying compliance risks.
EU AI Act AI-literacy duty since 02.02.2025: all 120 employees working with AI must produce training evidence.

Get your own report in fifteen minutes.

The report follows the structure shown above, but is built from your own answers about tool stack, processes and team. The result and recommendations are directly tailored to your real estate company.

Start the AI Advisor

Free · no account · GDPR-compliant