SmartVantage™ — Our AI-powered operating audit

Most AI diagnostics are theoretical because they rely on workshops that may not reflect your company's real operating environment. SmartVantage™ brings together your company's real strategic, commercial and operating contexts (e.g. stakeholder interviews, your strategy and operating documents, and actual data on the tools, documents, databases, and workflows your team works through). Through AI-powered sense-making, we identify your top AI opportunities, then prioritize the two or three with the highest return and shortest build time.

Book an audit See the sample output ↓

What a typical run finds.

Numbers below come from a simulated 5-user, 5-day run on a synthetic Singapore engineering firm (Apex Engineering).

5 days
Capture window
Telemetry agent runs passively on each user's machine
13,615
Observations
Window transitions, browser visits, and meeting events across 5 users
10
Opportunities ranked
Scored on ROI, feasibility, revenue impact, and strategic alignment
48 hrs/wk
Recoverable time
Sum of estimated hours saved across all 10 opportunities (≈ 1.2 FTE)

SmartVantage · Sample output

See what the audit actually looks like.

A map of how work flows across your business — every team, tool, document, and handoff — paired with the AI opportunities we would recommend and the time and cost each one saves.

SmartVantage · AI Readiness Diagnostic — Apex Engineering
Overview
Business Topology
Opportunities
Source Evidence
Viewing Apex Engineering · Week 14
Scope 5 functions · 12 coordination channels · 13,615 events
    AI Readiness Diagnostic
    48
    hrs/wk recoverable
    Ready to ship in 2 weeks
    3
    Quick wins
    7
    Mid-term
    13.6K
    Events
    Top opportunities 3
    Tender agent that drafts BQ pricing and methodology in 5 days
    Priority 4.5 ROI 5/5 6 hrs/wk extraction · org

    Today: David assembles methodology in Word while Priya prices the BQ in Excel. Full cycle: 12 days. Team handles 2 active tenders at a time, limiting pursuit to 3-4 per quarter.

    Proposed: A tender-prep agent reads the GeBIZ tender PDF, extracts the BQ, auto-prices line items from historical rates, and drafts a methodology section from a template library. Target: 5-day turnaround, 6 tenders per quarter.

    View evidence →
    Variation-order agent that prices Site Instructions in 5 days
    Priority 4.3 ROI 5/5 5 hrs/wk drafting · function

    Today: Priya manually prices each Site Instruction against the BQ and assembles backup documentation. Average SI-to-VO: 18 days versus the 7-day client expectation. $1.8M per year in work is done but not claimed on time.

    Proposed: An agent reads the SI, matches affected BQ line items, drafts a priced VO with the backup package, and hands it to Priya for review. Target: SI-to-VO in 5 days.

    View evidence →
    RFI agent that drafts cited responses in 48 hours
    Priority 4.2 ROI 4/5 4 hrs/wk retrieval · function

    Today: Ahmad searches Procore and Aconex, cross-references against AutoCAD, and drafts a response in Word. Average turnaround: 14 days. JTC's consultant flagged this as "unacceptable" in a project review, risking the $20M framework renewal.

    Proposed: A retrieval agent indexes the full Aconex and Procore document register, identifies relevant drawings and specification clauses for an RFI query, and drafts a response citing document references. Target: 48-hour turnaround.

    View evidence →
    Key findings 6
    5 functions tracked across 5 people with 230h 21m of active time captured.
    Focus profile: 33% deep-work, 38% fragmented sessions.
    Time mix: 222h 59m work, 7h 22m meetings (3% coordination load).
    Active projects: T32 MRT Depot (25h 40m), AMK Hub Extension (17h 47m), GeBIZ Tenders (8h 3m).
    Cross-function traffic: 12 function-to-function channels observed, heaviest between Project Management and Site Engineering.
    6 org-level and 4 function-level opportunities surfaced, grounded in measured metrics.

    Simulated run. Apex Engineering Pte Ltd is a synthetic construction firm used to validate the pipeline end to end.

    The deliverable

    What you walk away with.

    1. 1

      An interactive topology of how work actually flows.

      Every person, every tool, every document, every handoff, grounded in observed telemetry rather than self-reported workflows.

    2. 2

      A priority-ranked list of AI opportunities.

      Each opportunity carries an ROI score, a feasibility score, and an hours-saved estimate grounded in the telemetry.

    3. 3

      A 90-day implementation sketch for the top pick.

      Four concrete steps from pilot data through to production deployment, with the systems and people involved named. Your engineering or ops team can pick it up from there, or you can take the Build Sprint offer.

    Data handling

    What we capture, and what we don't.

    The audit runs on a lightweight telemetry agent that watches window transitions and browser URLs. It does not read content.

    What we capture

    • Foreground application and window title, one row per transition
    • Idle transitions and sleep gaps, so time away from the desk is not misattributed
    • Browser URL and navigation type, excluding incognito and internal browser pages
    • Calendar and email metadata: subject lines, participants, timestamps

    What we don't

    • No keystrokes, no screen recording, no screenshots
    • No email or document bodies, only metadata
    • No file contents, ever
    • Raw telemetry stays on the capture machine until your team shares it, and is deleted on request

    Bring a process that is taking more of your team's time than it should. We will tell you honestly whether AI can help.

    Book an audit