Most AI SDR tools sell personalization and skip the sending infrastructure underneath it. We build both: an agent that researches and qualifies leads against real signals, and the SPF, DKIM, DMARC, and warmup setup that decides whether any of it gets delivered at all.
An AI SDR agent built to actually reach inboxes
The problem, reframed
Gmail and Microsoft now reject non-compliant bulk mail outright at the SMTP level rather than quietly routing it to spam, and both providers weight actual recipient engagement; opens, replies, spam reports; over raw send volume. An AI SDR tool that writes great personalized copy on a domain with no DMARC alignment or a cold sending history still fails, because the message never reaches a human inbox to be judged on its content at all.
I think the AI SDR category oversells the writing part and undersells the plumbing part. Personalization quality matters less than most vendors claim once a domain's spam complaint rate crosses the threshold that gets it throttled. We build the agent and the sending infrastructure as one project, because shipping one without the other produces a system that looks good in a demo and fails in production within a few weeks.
What we build
Signal-based lead research and qualification.
Deliverability infrastructure, built first.
Multi-channel sequencing.
Compliance built into the send path, not bolted on.
Human handoff at the moments that matter.
Recently shipped
Built for a B2B SaaS outbound program first. We scoped an AI SDR agent for a US-based SaaS team: signal-based qualification pulling from LinkedIn and funding data, personalized first-touch emails through a warmed sending domain with full SPF/DKIM/DMARC alignment, and human handoff on replies scoring above a calibrated intent threshold. The agent qualified 200-plus leads per week with a reply rate that stayed within Gmail's engagement benchmarks from day one because the infrastructure was built before the copy was.
Built on a modern, connected stack
Claude API and OpenAI handle the personalization and qualification logic, self-hosted n8n orchestrates the multi-channel sequencing and CRM sync, and Postgres with pgvector powers the lead enrichment retrieval when the agent needs to pull relevant account context before writing an outreach message. Every reply and qualification decision logs back to HubSpot, Zoho, or Salesforce automatically, so your CRM stays the single source of truth instead of a second system your reps have to check separately.
Who this is for
B2B SaaS companies
Founders doing their own outbound
Companies whose current cold email tool is already struggling to land,
Agencies
Why Flowagenz
Infrastructure and agent code you own outright.
Full ownership of the agent logic, sequencing configuration, and sending domain setup on completion. No recurring per-seat SaaS fee replacing a build you actually own.
Based in Salem, Tamil Nadu.
Western-grade engineering at a rate structure offshore delivery makes possible.
Real overlap, not vague promises.
Async-first communication with working hours that overlap US Eastern mornings, UK afternoons, and Australian business hours on the same day.
We build the unglamorous infrastructure most AI SDR vendors skip.
Domain warmup, DMARC alignment, and complaint rate monitoring are not exciting to demo, which is exactly why so many AI SDR products ship without them and fail once real volume hits a real inbox provider.
How it works
ICP, channel, and compliance scoping.
Deliverability infrastructure setup.
Agent build.
Launch and tuning.
What you get on handover
Every AI SDR agent build ships with the following:
Full agent source code including qualification logic, personalization prompts, and sequencing rules
Sending domain and DNS configuration with SPF, DKIM, and DMARC alignment verified
Domain warmup schedule and history documenting the gradual ramp to full send volume
CRM integration logging every send, reply, and qualification decision to HubSpot, Zoho, or Salesforce
Multi-channel sequencing logic across email and WhatsApp, orchestrated through n8n
Compliance configuration for CAN-SPAM, UK PECR, or CASL with unsubscribe and consent handling
Spam complaint rate monitoring with automatic pause thresholds tuned to provider limits
Human handoff rules calibrated to your sales process, not a generic default
Documentation for adjusting sequences, thresholds, and personalization without our involvement
30-day post-launch support for complaint rate tuning, reply classification, and threshold adjustment
Zero dependency on Flowagenz infrastructure; runs on your domain, your CRM, your control
Frequently Asked Questions
Everything you need to know about our process and digital systems.
A typical AI SDR agent build runs INR 3,00,000 to 8,00,000 ($3,600 to $9,600) depending on the number of channels in scope, how many CRM and enrichment integrations are needed, and whether you need new sending domains warmed from scratch or existing infrastructure brought into compliance. A single-channel email agent with one CRM integration and a fresh sending domain sits at the lower end. A multi-channel agent with WhatsApp, multiple enrichment sources, complex qualification scoring, and recovery work on a damaged domain sits at the upper end. We scope on a call and quote in INR and USD together. The range above is honest for planning; your actual quote comes after the ICP, channel, and compliance scoping call.
Book your AI SDR scoping call
Tell us your target market and how your current outbound is performing, if you are running any today. We scope the agent, the deliverability infrastructure, and the build cost on a short call. No generic pitch.