About the Client
A Sydney commercial builder running 5–8 jobs (residential + small commercial) with a 20–80 person team. They already use Procore as primary PM software, but site comms run on WeCom / WeChat, email is Outlook, contracts live in SharePoint. Procore's API sits unused — PMs spend their days as human glue between systems.
Their Challenge
- Site info scattered across chats: 5 sites = 5 WeCom groups, hundreds of messages a day mixing photos, voice notes, daily logs. PMs spend their evening scrolling back to copy what matters into project ledgers
- Slow, leaky contract review: subcontracts, material purchase orders, variations — 10+ docs a week. Each needs cross-checking payment milestones, scope boundaries, special clauses. All manual. One missed clause = tens of thousands lost
- No proper change ledger: owner verbally changes scope, PM agrees, six months later the final account becomes a fight with no audit trail — the classic six-figure dispute pattern in construction
- Manual takeoff & pricing: estimator manually pulls quantities from PDFs, searches past jobs for comparables, builds the price in Excel — 2 weeks from drawings to submitted quote
Why ManifoldX
Our founder Banruo came up through Sydney sites himself — 3.5 years as Site Engineer + Foreman + 7 months as Junior PM. He knows which pains are real and which are coder fantasy. Two construction software vendors had pitched the client; neither understood why PMs must keep using WeCom and can't be forced into Procore. Their proposals didn't land.
The Solution
Don't replace Procore — sit on top of it as a 'PM-perspective workbench'. 5 modules:
1. Site message structuring engine (site-record-ai)
Pulls WeCom / WeChat group messages (text / image / voice) in real time. AI auto-classifies into 6 categories: defects / daily logs / RFI / variations / safety / delays. Each entry timestamped, attributed, project-linked. Two outputs: PostgreSQL (machine queryable) + Obsidian Markdown vault (PM readable + annotatable + drawing-linkable). Bot drops a confirmation card in the group before each entry is finalized.
2. Contract review workbench
Drop a subcontract / variation / purchase order PDF in. AI extracts 15 key fields (parties, amounts, payment milestones, scope, special clauses…), compares against template and historical contracts, flags 'abnormal clauses' (off-market amounts / missing standard clauses / ambiguous wording), and generates redline suggestions. PM finishes review and one-clicks the result into Procore's Commitments module.
3. Variations & risk ledger
Every variation (verbal owner ask / email / on-site call) is forced through a 4-step flow: evidence → quote → both-side sign-off → account entry. AI scans emails / WeCom / site recordings to flag 'this looks like a variation' and prompts the PM to start the flow. At final account, exports a full evidentiary package in one click.
4. Takeoff & pricing assistant
PDF drawings → AI summary + previous-version diff → semi-automatic takeoff (high-volume low-risk items auto, critical items flagged for human review) → pulls comparable historical jobs as price baseline. Cuts quoting from 2 weeks to 3–5 days.
5. Procore bi-directional sync
Read-heavy, write-light: pull Procore projects / commitments / RFIs / daily logs in for AI enrichment; only PM-confirmed structured items get written back (so the primary system stays clean).
Tech stack
Working with us
Weeks 1–2: site-record-ai core live, receiving authorised messages from 3 site WeCom groups, AI-classifying, writing to Obsidian. Weeks 3–4: contract review workbench v1, subcontracts only. Week 5: variations ledger. Week 6: Procore bi-directional sync done. A Senior PM acted as product owner, 2 hrs of review weekly.
I used to spend 60% of my day moving information from system A to system B. Now AI does that, and I get to actually be a project manager again — visit site, meet clients, make decisions. — Pilot PM (paraphrased)
Impact
- 60% faster contract review: a 30-page subcontract drops from 4 hrs to 1.5 hrs. AI-flagged 'abnormal clauses' caught 3 real issues during pilot (~$45K risk avoided)
- PM saves 8 hrs/week: site message sorting + daily log entry + email filing, ~12 hrs/wk → ~4 hrs/wk
- 100% variation traceability: in 6 months of pilot, system caught 17 small variations that would have been 'verbally agreed and forgotten'. All recovered at final account, ~$80K worth
- Quote cycle from 2 weeks to 4 days: estimator throughput up 3×, from 2 quotes/month to 6 quotes/month
What's next
Pilot feedback positive across 3 sites; rolling out to all 8 from June. Next phase: BIM / IFC model integration (paired with our Revit Takeoff tool) and 'voice-to-report' (PM dictates in the car, AI ships an evening report to the owner). This is also the direction we're targeting for SaaS, aimed at 20–200 person builders.