By industry
AI & Automation for Construction & Real Estate
Fewer enquiries, more buyers who can actually afford it
We design around
- DPDP Act 2023
- RERA disclosure requirements
- Consumer protection and advertising standards
- Channel partner data-sharing agreements
- 58%
- Reduction in unqualified enquiries reaching sales
- < 4 hrs
- Qualified enquiry to dealer contact
- 14 months
- Attribution window that stays intact
With qualified volume held roughly flat
Enquiry through to closed sale
What we hear
The problems that bring people to us
If several of these describe your week, there is almost certainly something worth automating.
- Portal and campaign enquiries that mostly cannot buy at your price
- Sales teams spending weeks qualifying leads by hand
- A long consideration cycle indistinguishable from a dead pipeline
- No way to tell which spend produced an actual sale months later
- Premium products dragged into a price comparison they cannot win
What we build
Where automation pays off in construction & real estate
Qualification that filters early
Fit, budget band and project stage established at the point of enquiry rather than three calls in, with poor-fit enquiries handled respectfully and kept out of the sales queue.
Long-cycle attribution
Spend reconciled against sales that close six to eighteen months later, so the campaign that produced a buyer is still attributable when the money arrives.
Premium positioning in the creative
Price band and specification stated plainly enough that the wrong buyers self-select out. Fewer enquiries, better ones, and less sales time spent discovering a mismatch.
Dealer and channel routing
A qualified enquiry reaching the right dealer, branch or specifier the same day, with the context attached and the handoff tracked rather than emailed and forgotten.
Specification and quotation support
Drafting quotations and specification documents from the enquiry and your product data, for a person to price and approve.
Volume is the wrong target
This sector buys leads by the hundred and complains about them by the hundred. The two facts are related.
When a campaign is optimised for enquiry volume, it will deliver volume — from people browsing, from people whose budget is a third of your entry price, and from people eighteen months from any decision. Each of those costs a salesperson a phone call, a follow-up and an entry in a CRM that makes the pipeline look healthier than it is.
For a considered, high-value purchase, the honest measure is cost per qualified buyer and the sales time consumed getting there. Optimising against that number usually reduces the headline figure everyone has been reporting, which is an uncomfortable conversation worth having early.
The long-cycle attribution problem
A buyer enquires in March and completes in the following May. By then the advertising platform's attribution window closed months ago, the campaign has been paused, and the sale is recorded against whatever touched the record last — often a brand search the buyer made because they already knew who you were.
Every conclusion drawn from that is wrong. Campaigns that produce real buyers look ineffective and get cut; late-touch channels look brilliant and get funded.
The fix is not clever modelling. It is stamping the enquiry with its origin in your own systems at creation, carrying that identity through to the closed sale, and doing the attribution as a join in your own data. It depends on CRM discipline holding for a year, which is why the RevOps hygiene work usually comes first.
Speed matters more than most people believe
For considered purchases the instinct is that response time matters less, since the buyer is not deciding today.
The data does not support that. The enquirer has contacted several suppliers, and the first credible response frames the comparison — it sets the specification vocabulary, the reference price and the relationship. Arriving third to a conversation that will run for a year is a structural disadvantage that better follow-up rarely recovers.
Qualifying and routing within hours rather than days is among the cheapest interventions available in this sector, and it is automation rather than marketing.
Volume model
- Every enquiry into one queue, ranked by arrival
- Budget and stage discovered on the third call
- Attribution from platform-reported conversions
- Dealer allocated by territory spreadsheet
- Pipeline padded with enquiries that cannot buy
Qualified model
- Enquiries scored on fit and budget band at creation
- Stage and budget established before the first call
- Attribution joined in your CRM across 14 months
- Routed to the right dealer within hours, tracked
- Pipeline reflects buyers, and forecasts start working
The channel handoff
For manufacturers selling through dealers, specifiers or contractors, the weakest link is usually the handoff rather than the lead.
An enquiry generated centrally, emailed to a dealer, and followed up whenever they next check that inbox produces exactly the complaint every manufacturer in this sector reports. The dealer believes the leads are poor; the marketing team believes the dealers are slow; both are looking at the same broken handoff.
Making it a tracked routing step with acknowledgement, timing and outcome captured resolves the argument by producing evidence. It also surfaces which dealers convert, which is commercially useful information that most manufacturers do not currently have.
Beyond the sales funnel
Beyond demand generation, construction companies face significant back-office work that compounds quickly: invoice matching against BOQs, manual quotation entry, site reports copied between systems, vendor management across distributed teams.
Back office automation for construction typically addresses quotation processing, invoice reconciliation, purchase order workflows, and site documentation — processes that consume project managers and finance staff weekly.
Where the work overlaps
The demand system is Growth & Demand Generation. The attribution and enquiry data layer is data platform buildout. Qualification, routing and quotation drafting are sales and revenue operations, and any customer-facing configurator or specification tool is Product Engineering.
FAQ
Questions we get asked
Our lead volume is already high. Why would we want fewer?
Because volume is not the constraint — sales capacity is. A campaign producing three hundred enquiries and four buyers costs more in salesperson weeks than one producing forty and twelve, and it demoralises the team besides. We would expect your headline enquiry count to fall and your cost per qualified buyer to fall further. If your sales team has genuine spare capacity, that changes the recommendation and we will say so.
What does a first engagement cost and how long does it take?
Two weeks to work backwards from your closed sales and establish what a good buyer actually looked like at enquiry, then four to six weeks to implement qualification, routing and the attribution layer. The measurement comes before any change to spend, because changing spend first means you have no baseline to judge it against.
Our sales cycle is over a year. How can attribution possibly work?
By storing the enquiry identity and its source in your own systems rather than relying on advertising platform windows, which expire long before your buyer decides. The enquiry is stamped at creation and carried through to the closed sale in your CRM, so the attribution is a join in your data rather than a platform's guess. It requires the CRM discipline to hold, which is usually the harder half.
Can you generate leads for us directly?
We build and run the system that generates and qualifies them, which is not the same as being a lead vendor. We do not sell purchased lead lists, and we would advise against buying them — in this sector they are widely resold, the consent position is poor under the DPDP Act, and the conversion rates do not justify the brand cost.
Our dealers complain they get poor leads. Is that fixable?
Usually, and often it turns out to be a routing and speed problem rather than a quality one. A good enquiry sent to the wrong dealer, or reaching the right one two days later, is indistinguishable from a bad enquiry by the time anyone follows up. Fixing routing and response time typically improves perceived lead quality before any change to targeting does, and it is cheaper.
Where does AI actually feature here?
Classifying and enriching enquiries at creation, qualifying against a fit definition with the reasoning attached, and drafting quotations and specification documents from your product data. What we would not do is let a model decide pricing or make a commitment to a buyer. In a category with RERA disclosure obligations and long liability tails, generated commitments are a bad idea regardless of how good the model is.
Talk to someone who has worked in construction & real estate
Bring a process that annoys you. In 30 minutes we will tell you whether AI helps, what it would cost, and where it would fail — even if the answer is don't bother.
Or email [email protected] · we reply within 1 business day