RDash is an AI-powered construction management platform that unifies site teams, procurement, design, and finance in one place. It deploys in seven to thirty days and pays for itself by recovering 10% of project construction cost through better reconciliation, procurement, and cash flow management.
Their buyers are CFOs, Project Directors, Procurement Managers, and COOs at real estate developers and construction companies. Reaching them is the SDR team's job. Getting that team to operate at the right volume, with the right message, across the right channels. That was the problem.
The challenge: an SDR team without the right tools
RDash's existing CRM was built around the closing motion: deal tracking, pipeline stages, forecasting for account executives. The SDR team had no proper prospecting layer. Finding contacts, enriching details, and running coordinated outreach across LinkedIn, email, and WhatsApp was all manual.
"We had a system built for closing deals, not for finding and reaching new ones. The SDR team needed something different."
Kirit, Head of Marketing at RDash
Outreach was fragmented. LinkedIn from one place, email from another, WhatsApp manually. No coordinated sequence, no consistent follow-up, and no visibility into what was working.
What changed with toflow.ai
Three things gave the SDR team a workflow they could run at volume.
A single outreach system across all three channels. Construction buyers in India are active on LinkedIn, email, and WhatsApp. An SDR managing those three channels through separate tools was context-switching constantly. toflow.ai runs all three natively from one place: one sequence, one thread per prospect, one inbox for replies. The SDR team stopped switching between tools and started having more conversations.
Enrichment that finds the contact details that matter. toflow.ai's waterfall enrichment finds verified emails and phone numbers across 8+ data sources. For an SDR trying to reach a Project Director at a construction company, getting a working email and a WhatsApp-reachable mobile number in one step rather than hunting manually made it possible to run sequences at a volume that was not practical before.
Prospecting through Claude instead of through spreadsheets. toflow.ai connects directly to Claude. An SDR describes who they are looking for: "Procurement Managers and CFOs at real estate developers in India with 200-plus employees." Claude searches, qualifies, enriches, and enrolls the contacts automatically. What was a manual morning task now runs in the background.
"The SDRs were spending half their day just getting contacts ready to reach out to. Now that work is done before they have opened their first sequence."
Kirit, Head of Marketing at RDash
How the SDR team runs outreach today
Building the prospect list
The team uses toflow.ai's Chrome extension to pull leads directly from LinkedIn Sales Navigator. Targets are filtered by job title, company size, and geography. Contacts land in toflow.ai instantly. No CSV exports, no copy-pasting.
For larger prospecting runs, an SDR types the target profile into Claude and the search, qualification, enrichment, and enrolment happen automatically. Before any sequence starts, toflow.ai's account research surfaces company-level context: the type of construction the company does, their scale, any recent projects or news. That context shapes the opening message so it references something real rather than a generic construction pitch.
The outreach sequence
Each touchpoint hits a different channel, but the message is built around the role.
Day 1. A LinkedIn connection request referencing something specific to the company: a recent project, the type of construction they do, or the scale of what they are managing.
Day 3. A follow-up email tailored to the role. Cash flow visibility and procurement reconciliation for CFOs. Schedule tracking and site progress visibility for Project Directors. Vendor management and cost reconciliation for Procurement Managers. The same product, positioned around the problem each role actually owns.
Day 7. A WhatsApp message if there has been no reply, or a follow-up on whichever channel responded first.
Following up without dropping the ball
"The follow-up was always the part that broke down. Someone replies saying reach out next month, and then next month comes and we have forgotten. toflow.ai's follow-up agent handles all of that now."
Kirit, Head of Marketing at RDash
toflow.ai's follow-up agent tracks engagement across every active conversation on every channel. When a prospect replies and the thread goes quiet, the agent sends a follow-up calibrated to where the conversation left off. No SDR has to remember. No lead cools because something slipped.
Managing replies at scale
As reply volume grew, toflow.ai's inbox manager became the SDR team's central hub. Replies across LinkedIn, WhatsApp, and email land in one feed. The agent reads each thread, drafts a response, and categorises the intent: interested, not now, referral, not a fit. SDRs step in only for the conversations that need a human decision.
Results
Meetings tripled. Qualified meetings booked per month went up 3x. Running coordinated sequences across LinkedIn, email, and WhatsApp with verified contact details on all three channels is what moved the number. The SDR team was reaching more prospects per rep, with better data, and following up more consistently than before.
10% average reply rate. Construction buyers are not easy to reach. A 10% reply rate across cold outreach to CFOs and Procurement Managers reflects the impact of role-specific messaging. A message that references the specific challenge a CFO faces on a large construction project lands differently than a generic software pitch.
80% less time on prospecting. The combination of the Chrome extension, waterfall enrichment, and prospecting through Claude replaced what was a multi-hour manual process per rep. SDR time shifted from setup and data entry to actual conversations.
"We are booking more meetings and better ones. The SDRs are in more conversations, the pipeline is moving, and the whole team has more time to focus on the calls that actually matter."
Kirit, Head of Marketing at RDash
What's next
RDash is expanding into new segments, starting with mid-sized contractors and retail fitout companies where RDash's seven to thirty-day deployment speed is a direct differentiator. The SDR team will run dedicated sequences for each segment, with messaging built around the specific challenge each buyer type faces.
The team is also going deeper on using Claude for prospecting, moving from basic contact searches toward more targeted research that surfaces accounts showing active buying signals.