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eRevOps Agency · Custom Integrations

Custom Integrations for the Stack That Native Connectors Won’t Touch.

SaaS to AI-native SaaS, billing to CRM, warehouse to revenue motion — we build the integrations off-the-shelf tools were never going to ship.

Schedule a Scoping Call → See what we’ve built
Integrations shipped
  • HubSpot ↔ Salesforcebi-directional sync
  • Clay → HubSpotAI enrichment → CRM
  • OpenAI / AnthropicLLM workflows
  • Snowflake → CRMreverse-ETL
  • Stripe ↔ HubSpotbilling ↔ revenue
  • Outreach AI → CRMtwo-way activity sync
Recognized by HubSpot · Salesforce · G2 · Winning by Design
HSDiamond · #1 Customer FirstHubSpot North America 2024, 2025, 2026
SFConsulting PartnerSalesforce
G2200+ ReviewsG2 & HubSpot combined
WAmbassadorWinning by Design
01 / 07Who this is for

You’ve bought the tools. Now you need them to talk to each other.

CRO, VP of RevOps, COO, or founder of a B2B revenue team that’s added five new vendors in the last twelve months — at least one of them AI-native. The native integrations cover 20% of what you need. Your team is patching the other 80% in spreadsheets, Zapier scenarios, and tickets that never close.

Starting Point 1

Vendor sprawl, no spine

You added Clay, Apollo, Outreach AI, Gong, and an LLM workflow this year. None of them sync the right data back to HubSpot or Salesforce.

Starting Point 2

AI tools, no measurable ROI

The CFO asks where the AI spend shows up in pipeline. You can’t answer because the AI tools live in their own silo.

Starting Point 3

Custom data, off-the-shelf integrations

Your product or business model doesn’t fit the vendor’s template fields. Their ‘out-of-the-box’ integration breaks the moment you hit a real-world edge case.

02 / 07Why your stack stalls

Every vendor promises an integration. Almost none of them ship one that holds up.

‘Native integration’ usually means a one-direction sync of three fields. ‘Marketplace integration’ means a third-party app that was last updated 18 months ago. ‘Zapier scenario’ means a fragile chain that breaks the first time someone renames a property. The promise was a connected stack. The reality is data that’s almost right — which is worse than data that’s obviously wrong.

External — what’s broken

Native integrations missing half your fields.

AI tools that read data but don’t write back. Webhooks that fail silently. Reverse-ETL that runs once a day when you need it once an hour.

Internal — how it feels

Every Monday you don’t fully trust the number.

Reps re-key data between systems. RevOps spends their week reconciling instead of building. The AI tools your CEO asked you to buy are producing output invisible to the people who need it.

Philosophical — why this is wrong

The stack is supposed to compound.

Disconnected tools don’t compound — they multiply costs and complexity. Every minute spent reconciling between systems is a minute not spent moving the number.

The villain
The ‘native integration.’

It checks the box on the vendor’s marketing page. It does not check the box on your actual revenue motion.

03 / 07Why revenue teams pick us

RevOps brain. Engineering hands. We’ve shipped integrations across the modern AI stack.

We’re not a Zapier shop and we’re not a six-month enterprise SI. We’re operators who came up running RevOps inside revenue teams — and along the way we built the integrations they actually needed. HubSpot Diamond Partner. Salesforce Consulting Partner. Builders who’ve shipped custom integrations across Clay, Apollo, Outreach, Gong, Regie, OpenAI, Anthropic, Snowflake, Segment, Stripe, Chargebee, and Gainsight.

HubSpot Diamond Partner

Custom integrations into the Hub you already run. Sales, Marketing, Service, Operations.

Salesforce Consulting Partner

Multi-cloud integrations. Sales Cloud, Service Cloud, Revenue Cloud, Data Cloud.

AI-native fluency

Shipped integrations across Clay, Apollo, Outreach, Gong, Regie, and direct OpenAI/Anthropic API workflows.

Reverse-ETL specialists

Snowflake → CRM, Segment → CRM, Looker → exec dashboards. Data lands where decisions get made.

API + middleware engineers

Custom webhooks, queue-backed retries, idempotent writes. Integrations that survive a production weekend.

Built-in observability

Every integration ships with monitoring, alerting, and a runbook. You’ll know it broke before your team does.

Customer story
Top-tier collaboration since day one.
‘I have worked with many HubSpot agencies, and Elefante is top-tier; the collaboration has been smooth since day 1.’
Vacca, A. · Professional Services · Revenue Operations · CRM Migration · Sales Enablement
4.9
G2 & HubSpot · 200+ reviews
04 / 07How a Custom Integration build runs

Three steps to start. Five stages to ship.

A two-person build team — a Growth Architect who owns the data model and a GTM Engineer who writes the code — scoping in a written sprint plan before we touch a record. We work in your tools, in your sandbox, with your team on call.

Step One

Run a Scoping Call

45 minutes. Current stack inventory. Three highest-risk data flows. Honest answer on whether a custom integration is the right move or whether something off-the-shelf would do.

Step Two

Get a written scope

Fixed deliverables. Defined data contract. Test plan. Sandbox-first build order. Before we write a line of code.

Step Three

Ship in two-week sprints

Continuous deployment. Sandbox → staging → production with monitoring on day one. Owners coached so the integration survives the engagement.

Every engagement runs the same five stages: Discover → Map → Build → Ship → Maintain. Each stage has owners, deliverables, and a written exit gate. See the full 5-stage process →
05 / 07What we build

Anything that needs to talk to anything else. We’ve probably built it.

The stack is wider than it’s ever been. We’ve shipped integrations across the modern revenue + AI tooling landscape. Each is purpose-built — no fragile Zaps, no third-party reseller middleware, no ‘we’ll figure out monitoring later.’

AI-native CRM sync

Two-way integrations between AI tools (Clay, Apollo, Outreach AI, Gong, Regie, custom LLM workflows) and HubSpot/Salesforce. AI output becomes structured CRM data. Reps see context, RevOps measures ROI.

Scope an AI integration →

OpenAI / Anthropic / custom LLM

Direct API integrations for enrichment, lead scoring, summarization, qualification, conversational workflows.

Read more →

HubSpot ↔ Salesforce

Bi-directional sync beyond the native connector. Custom objects, fields, conflict resolution, ownership rules.

Read more →

Reverse-ETL from the warehouse

Snowflake / BigQuery / Redshift → CRM. Customer 360 data lands on the record where it gets used.

Read more →

Stripe / Chargebee → CRM

Subscription lifecycle, MRR, churn signals synced into HubSpot or Salesforce. Finance and Sales walk in with the same ARR.

Read more →

Segment / event streams

Product usage events → CRM, marketing platforms, and your warehouse. One event, every system.

Read more →

Custom webhooks + middleware

Queue-backed, idempotent, observable. When a SaaS vendor’s webhook fails, our middleware retries and alerts.

Read more →

Integration monitoring + maintenance

Every integration ships with health checks, drift alerts, and a quarterly maintenance window. Integrations rot. Ours don’t go silent.

See how we monitor →
06 / 07What good looks like

60 days after a clean integration build, this is what your team is running on.

Not aspirational. This is what our clients are running on today.

Every AI tool feeds the CRM

Output from Clay, Apollo, Outreach AI, Gong, and your LLM workflows lands on the contact, deal, or account record — structured, attributed, queryable.

AI ROI is measurable

Pipeline sourced and influenced by AI tooling shows up in the same dashboards as everything else. The CFO gets a number.

Reps stop re-keying data

Customer context appears inside the system they already work in. No second login. No copy-paste.

Finance and Sales reconcile

Billing data flows to the CRM. CRM data flows to finance. Month-end close drops from days to hours.

The warehouse is the source of truth

Snowflake / BigQuery / Redshift holds the canonical record. Every downstream tool reads from it.

Integrations don’t go silent

Monitoring, alerting, runbooks. When an API changes, you find out from us — not from the rep who can’t log a deal.

You’re the leader who finally connected the stack.

07 / 07What’s at stake

What happens when integration debt compounds. Not the worst case. The base case.

We’ve walked into stacks running on three-year-old marketplace integrations, broken Zaps, and AI tools no one can prove ROI for. Here’s what we see.

AI spend with no revenue contribution.

The CFO cuts the AI line item because no one can show it produced pipeline. The CRO loses leverage. The team’s most modern tools get pulled.

Manual reconciliation eats RevOps.

One person spends two days a week stitching data between systems. They burn out, leave, and take the knowledge with them.

Tool migrations break the whole stack.

You swap one tool. Six integrations fail silently. By the time you notice, the deal you were tracking has slipped a quarter.

40%
Average share of fields native integrations leave on the table
2 days/wk
Time a single-threaded RevOps person spends reconciling data between systems
6+ mos
Lifespan of a typical Zapier scenario before something breaks
0
Config defects across our last 18 custom integration builds
Frequently asked

Bring the rest to the scoping call.

Answers to the questions we get on every discovery call. If yours isn’t here, it’s the first thing we’ll cover when you book the scoping call.

What counts as a ‘custom integration’?
Anything beyond the native or marketplace connector. Custom fields, custom objects, multi-direction syncs, queue-backed webhooks, AI tool integrations, reverse-ETL, middleware. If your business has a data model that doesn’t match the vendor’s template, you need a custom integration.
Do you only work in HubSpot and Salesforce?
Those are our specialty, but every modern stack has 15+ tools. We’ve built integrations across Snowflake, Segment, Looker, Stripe, Chargebee, Gainsight, Clay, Apollo, Outreach, Gong, Regie, OpenAI, and Anthropic. If your stack is exotic, we’ll say so on the scoping call.
What about AI-native tools specifically?
AI tools are where most integration work is happening right now. They produce output (enriched contact data, qualification signals, generated outreach) that needs to land in the CRM in a way reps can act on and RevOps can measure. We’ve shipped this pattern across multiple AI vendors.
How long does a typical integration take?
A single integration: 2–6 weeks from scope to production. A full stack rebuild: 3–6 months depending on complexity. We sandbox-build first, so you see it working before it touches your live data.
Do you maintain the integration after you build it?
Yes. Every integration ships with monitoring and a quarterly maintenance window. APIs change. We catch it before your team does.
Can we keep this in-house and just have you scope it?
Yes. We do scoping-only engagements for teams that have engineering capacity but want the data contract designed right. We hand over a written scope, data contract, and test plan.
Ready when you are

Stop patching with Zaps. Start shipping integrations that hold up.

45 minutes. Current stack inventory. Three highest-risk integrations. An honest answer on whether a custom build is the right move.

Schedule a Scoping Call → Get the Free Integration Readiness Guide
HubSpot Diamond Partner · #1 Customer First North America 2024, 2025, 2026 · Salesforce Consulting Partner · Winning by Design Ambassador · 200+ verified reviews on G2 & HubSpot