Real estate developers

AI for real estate developers

Development runs on documents, deadlines and coordination. Cyndra is the vendor-agnostic AI partner that builds and runs a managed AI back office for your team: draws, lender and investor reporting, diligence and reconciliation, inside the systems you already use, with a person approving anything that leaves the building.

Selected customers and enterprise relationships

Experience across complex, operational businesses

FontainebleauRelated RossBehring Co.ReleventAxar CapitalWeitz & Luxenberg

Shown: selected customers and enterprise relationships.

The back-office problem

More projects should not mean a bigger back office

A development company grows project by project, and every new project brings the same recurring work with it: a monthly draw, a lender report, an investor update, a stack of consultant invoices to code and reconcile, a diligence checklist, a permit calendar. None of it is hard. All of it is time-consuming, deadline-driven and spread across Procore, the accounting system, spreadsheets, shared drives and email.

That is why finance and development administration tends to grow at the same rate as the pipeline. The people who should be managing budgets, lenders and partners spend their week assembling packages and chasing documents instead.

AI agents are good at exactly this kind of work: gathering information from several systems, preparing it in a known format, checking it against rules and following up on what is missing. What they should not be trusted with is the judgment: approving a draw, accepting a variance, deciding what an investor needs to hear. So the design is simple. Agents do the preparation, reconciliation, routing and chasing. Your team keeps approvals, exceptions and financial decisions.

What the agents do

Built for the workflows that eat a development team's week

Draw requests and pay applications

Assemble the monthly draw package from Procore and your accounting system: pull the pay applications, match invoices and lien waivers to budget line items, flag variances and missing backup, and stage the lender submission for your project accountant to review.

Lender and investor reporting

Pull actuals, draw status, schedule milestones and leasing or sales progress into your reporting templates on the cadence each lender and investor expects. Every number is sourced from the system of record and staged for a human to approve before it goes out.

Reconciliation and finance administration

Reconcile project costs against budgets and commitments, tie out entity-level entries, chase coding questions, and prepare the recurring schedules your controller rebuilds by hand every month.

Due diligence document processing

Read title reports, surveys, environmental studies, leases and estoppels. Extract the terms that matter, build the diligence tracker, and flag missing or expiring documents against your checklist.

Consultant and vendor chasing

Track open RFIs, submittals, certificates of insurance and outstanding documents across GC, architect and consultant threads, send the follow-ups, and escalate only what is still stuck.

Entitlements and permits

Monitor municipal portals and hearing calendars, track submittal status across jurisdictions, and alert the team before deadlines instead of after them.

Pipeline and deal tracking

Keep Dealpath or your deal CRM current: intake new opportunities, chase missing underwriting inputs, and produce the weekly pipeline rollup leadership actually reads.

Approval packets and routing

Assemble change orders, budget reallocations and invoice approvals into a complete packet, route it to the right approver, and record the decision where your team will look for it later.

Where to start

How to pick the first workflow

The first workflow decides whether AI sticks in a development company, so it is worth choosing carefully. The best candidates share five traits:

  • It recurs on a schedule. A monthly draw or a quarterly investor report beats a one-off analysis, because the work comes back and the time saved comes back with it.
  • The rules are known. Someone on your team can explain how the package is assembled and what makes it complete, even if the rules live in their head today.
  • The inputs live in systems. Procore, the accounting system, a shared drive or an inbox the agent can be given scoped access to.
  • There is a natural review step. A project accountant, controller or asset manager already signs off before anything goes out, so a person stays in the loop without adding a new process.
  • It has one owner. A named person who knows the work, can answer questions and will judge whether the output is right.

Draw preparation, recurring lender and investor reporting, and cost reconciliation usually meet all five. Diligence and entitlement tracking follow once the first workflow is running and the team trusts the review loop.

Draw preparation

What to check before AI prepares a lender draw

A draw package is a useful first test only when every proposed amount points back to its source and a named person keeps the approval decision. The AIA G702/G703 guidance describes work completed, stored materials, retainage, change orders and the payment requested. The OCC commercial real estate lending handbook describes lender controls including budget monitoring, inspections, lien searches and dual approval. These sources explain the document and control context, not a Cyndra client deployment.

  • Gather the approved budget version, pay application, invoices and change orders.
  • Require a source reference for each proposed match and an exception list for missing or conflicting backup.
  • Have a project accountant review the draft and an authorized signer approve the final package. AI does not approve or submit the draw.
  • Compare time to a reviewed package and correction rates with the existing process before expanding the workflow.

Bring your current draw checklist to a back-office call to discuss a first scope and its review boundaries.

How Cyndra works with developers

A partner, not another tool to manage

Cyndra is a vendor-agnostic AI transformation partner. For a development company that usually means four things working together.

An embedded AI team

Cyndra engineers work as your AI department on retainer. They map the back-office workload with your finance and development leads, build the agents, connect them to your systems and keep them running in production.

Training and workshops

Hands-on sessions for project managers, accountants and asset managers, so the people who own the work know what the agents do, how to review them and where AI helps in their own day.

The Cyndra platform

One place to run and control the agents: what each one can access, when it needs approval, and a record of every action it takes.

Vendor-agnostic by design

We are not tied to one model or software vendor. We choose the tools per workflow and work across the accounting, project and document systems you already use, so there is nothing to rip out and replace.

From first workflow to production

How the back office goes into production

  1. 01

    Baseline the workload

    Pick the recurring back-office work to take on first, record how it is done today and name one accountable owner on your side.

  2. 02

    Connect the systems

    Give the agents scoped access to the project, accounting and document systems the workflow touches. No migration comes first.

  3. 03

    Put the work into production

    Preparation, reconciliation, routing or chasing runs for real, with human approval around exceptions and financial decisions.

  4. 04

    Measure and expand

    Track the recurring workload the agents absorb, then extend into adjacent workflows once the first scope is working.

Your stack, not another dashboard

Works where development work already happens

  • Procore: budgets, draws, RFIs, submittals, daily logs
  • Dealpath and deal CRMs: pipeline, underwriting inputs, deal files
  • Accounting systems: actuals, reconciliation, variance review
  • Email, Slack and Teams: where the agents report and take requests
  • Document stores: title, surveys, leases, environmental, closing sets
  • Excel and Google Sheets: the models and trackers you already run

FAQ

AI for real estate developers, answered

What does AI do for a real estate development company?

It takes on the repetitive, document-heavy coordination around each project: assembling draw packages, preparing lender and investor reports, reconciling project costs, processing diligence documents, tracking entitlements and chasing consultants for what is missing. Your team keeps the judgment calls and approvals; the agents do the gathering, preparation, checking and chasing.

Are we buying software or a service?

A service. Cyndra performs the implementation and operates the agents in production as an embedded AI team, on the Cyndra platform. You supply one accountable workflow owner; you do not need an internal AI project team.

Do we have to replace our systems or use a particular AI vendor?

No replacement is assumed. Cyndra is vendor-agnostic. We review the access and integration options for your project, accounting and document systems before proposing a first workflow. Procore, Dealpath, spreadsheets and email may be relevant inputs, but the connection method and permissions depend on your environment and approval process.

How is sensitive deal and investor data handled?

Each agent runs with scoped, per-tool permissions, approval gates on outbound actions and a full audit history. Nothing is sent to an investor or lender without a person on your team approving it.

Can you train our team as well?

Yes. Training and workshops are part of how Cyndra works: we run hands-on sessions for the people who review and own the work, so adoption does not depend on one champion.

Where do we start?

With one recurring workflow that has a clear owner, usually draw preparation, a recurring lender or investor report, or reconciliation. It goes into production first, and the scope expands once it is working.

A practical first step

Take the first workflow
off your team.

Tell us which recurring work eats your team's week. We will confirm a production scope and the path to a managed deployment.