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AI integration

Salesforce built by native engineers

Salesforce + AI — Einstein-compatible chatbots, auto-logging, and record enrichment workflows.

Overview

What Salesforce AI Integration Services looks like with us

From scoping call to go-live, our Salesforce engagements are designed for teams that care about what actually ships. Security and privacy are built in: NDA-first, least-privilege IAM, EU or US data residency, VPC-isolated deployment options. Every engagement starts with a mutual NDA, a scoping conversation with a senior engineer, and a written proposal within one week. All work product, source code, and documentation is assigned to you on payment — no vendor lock-in, ever.

What we deliver
  • 01Native SDK integration — not a hand-rolled HTTP wrapper that breaks on API changes
  • 02Retry / backoff / timeout strategies and dead-letter queues
  • 03Observability: per-call latency, token usage, cost attribution
  • 04Webhook handlers, signature verification, replay safety
  • 05Version-pinning strategy and migration runbook when APIs change
Use cases

How teams use this

01 / 03

Ship a Salesforce feature to production behind a feature flag within 4-6 weeks

02 / 03

Replace an existing brittle integration with a properly observed, retry-safe one

03 / 03

Build a platform abstraction over Salesforce so you can swap providers later

Stack we typically work across
OpenAI SDKAnthropic SDKLangChainWebhooksQueue workersOpenTelemetry
Trusted by teams worldwide

100+ companiesquietlyrunonsystemswebuilt.

PreCallAI
QCall.ai
Fareof
60db.ai
RevenueCaptain
FAQs

Common questions

What happens when the upstream API changes?

We pin versions, monitor provider changelogs, and run regression tests against known inputs. When a breaking change lands, we estimate and quote the migration.

How do you handle rate limits and outages?

Retries with exponential backoff, circuit breakers, dead-letter queues, and where appropriate a secondary provider fallback. We instrument everything so you see outages in real time.

What does pricing look like?

Three models: fixed-scope for clear MVPs, monthly retainer for ongoing engineering, or day-rate staff augmentation. We send a written quote within one week of the scoping call.

How fast can we start?

Most engagements kick off within 5-10 business days of the first discovery call. Scoping takes 3-5 days; paperwork (MSA + SoW + NDA) runs in parallel.

Client voices

Whatpeople who shipped with ussayafterwards.

01 / 04
Engineer Master Labs built our entire AI call center platform from scratch. Their STT model supporting 100+ languages transformed our business completely!
Tanya Schumann
CEO PreCallAI
02 / 04
The automation solutions from Engineer Master Labs helped us scale our revenue operations without hiring additional staff. Their lead generation automation is exceptional.
Moushami Ganguly
Founder RevenueCaptain
03 / 04
Their AI engineers delivered a robust call automation system that processes thousands of calls daily. The real-time STT capabilities are game-changing for our business.
Udit Goenka
CEO QCall.ai
04 / 04
Engineer Master Labs provided exceptional full-stack development services. Their team's expertise in both frontend and backend technologies delivered exactly what we needed.
Robert C.
CTO FareOf
Tanya Schumann
Moushami Ganguly
Udit Goenka
Robert C.
Development Team Lead
Sarah Johnson
Michael Chen
Lisa Rodriguez
David Thompson
Jennifer Park
Ahmed Hassan
Emma Williams
Free consultation

Telluswhatyouwanttoautomate.We'llreplyinonebusinessday.

Describe the problem, the constraint, the deadline. We'll send back a scoped plan and a senior engineer to kick it off — no sales theater.

Discovery call within 48 hours
Scoped proposal in one week
NDA-first, IP assigned to you
Dedicated Slack / Teams channel
Transparent weekly reporting
SOC 2 / GDPR / HIPAA-ready workflows
01 / 01replies in 24h
Schedule a free consultation
No sales pitch. A real engineer reads every message.