Engineering for
Sales & RevOps.
Sales teams spend more time sorting prospects than selling them. SDEN's engineering changes the ratio, and the product we operate in this sector demonstrates exactly how.
What we engineer
Sales and RevOps is the sector where AI got real first. The cost of qualifying an inbound lead has collapsed; the cost of a rep on a low-intent call has not. The engineering question that follows is not whether to automate; it is what to automate, against which evaluation, with which fallback when the automation drifts.
SDEN's answer is Lead Manager, an acquisition engine we run in production. Leads land from forms, APIs, and webhooks into a deduplicated store; a scoring layer ranks them on calibrated probability of close; multichannel follow-up sequences run on behavior, not on a fixed cadence; and every sequence stops the moment the prospect replies. The engineering is the orchestration, not the AI button, and that is the part most agencies under-staff.
Capture, score, follow up, and stop on first reply
A sales-engineering engagement at SDEN replaces a manual queue with a ranked one. The capture layer deduplicates leads on entry, enriches them against firmographic data, and stores them in a typed schema that the scoring model and the orchestration engine can both reason about. The scoring layer pairs an OpenAI-class classifier with offline evaluation against your actual conversion outcomes, so drift is detected before the team feels it.
Follow-up is where most automation projects fail. SDEN's engineering ships multichannel sequences (email, LinkedIn, SMS, WhatsApp) that compose without stepping on each other, that respect the channel each prospect actually reads, and that exit the moment the prospect replies. The reversibility clause is non-negotiable: every sequence has a non-AI fallback the team can drop back to in minutes if the model breaks.
More meetings per hour, fewer follow-ups by hand
The outcome from a sales-engineering engagement is measurable from the first month: the share of leads automatically qualified rises, the share of follow-ups automated rises, and the time reps spend on the wrong calls falls. The shape is what matters: human time moves to where humans add value, and the queue stops being the bottleneck.
What sales-engineering does not change: the conversation. The model handles the routing, the scoring, the drafting, the cadence. The rep handles the deal. We design for that boundary explicitly.
The constraints specific to sales & revops
CRM integration as a first-class concern
Salesforce, HubSpot, Pipedrive, Attio, Apollo: the lead store reconciles with the CRM your team already lives in, not against it.
Anti-spam compliance built in
Outbound sequences respect CAN-SPAM, CASL, and applicable data-protection rules. Suppression lists are enforced at the orchestration layer, not at the channel.
Evaluation harness on the scoring model
The scoring model is re-evaluated against actual conversion outcomes on a documented cadence, and the model is disabled below a threshold the team agrees to in writing.
Domains a sales & revops engagement leans on
Every SDEN engagement spans multiple domains. These are the ones that ship most of the work in this vertical.
Software & mobile development
SDEN designs and ships production web platforms, SaaS applications, and native and cross-platform mobile apps, from a blank page to App Store, Play Store, and live production.
AI & machine learning
SDEN audits the AI integrations a business already runs, designs the custom workflows it should run next, and ships them to production with the evaluation harnesses that keep them honest: RAG, agents, classification, generation.
Cloud & infrastructure
SDEN designs, deploys, and operates cloud infrastructure on AWS, GCP, and Azure across US, Canadian, and EU regions, with cost discipline and Infrastructure as Code by default.
Sales & RevOps:
questions we get asked.
Direct answers to the questions we get asked the most. If yours isn't covered, write to the team.
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