CRM Development Services We Offer in Austin
Most Austin CRM work we take on is a rescue, not a greenfield build. We run Salesforce and HubSpot re-implementations where the existing org is kept running while a clean data model is built beside it, then cut over object by object instead of in one weekend. We build custom CRM systems on Postgres and Next.js for companies whose sales motion does not fit a licensed edition, usually marketplaces, multi-entity operators and health systems that cannot put PHI into a shared tenant. We build the consent and preference layer as a first-class service rather than a checkbox on a lead record, with provenance on every opt-in, TDPSA opt-out handling including universal signals, and deletion that propagates into the marketing automation platform, the warehouse, the support desk and the reverse ETL destinations instead of stopping at the primary object. We do identity resolution and deduplication with survivorship rules the revenue team signs off on. We build the integration layer between CRM, billing, product telemetry and support so forecast, usage and churn signals reconcile. Where AI lead scoring or routing is in scope, we run it through a TRAIGA prohibited-use screen and keep the feature set auditable, because a model that scores humans is a liability surface, not a convenience.
Our CRM Development Development Process
Discovery for an Austin CRM engagement runs on Central Time with the revenue operations lead, the marketing operations lead, a working sales manager and someone from legal or privacy in the room, because those four people disagree and the disagreement is the actual requirement. We open with three audits: a field-level inventory of what exists and who writes to it, a consent inventory that maps every channel a contact was acquired through and what they agreed to, and an integration map of every system that reads or writes a customer record. Anything with no owner and no reader gets a deletion recommendation on day one. Design produces a data dictionary, a survivorship and merge specification, a lead and case routing model written in plain language before it is written in Flow, and a TDPSA data-subject-rights runbook. Build sprints are two weeks with a Thursday 2:00 PM Central demo in a full sandbox loaded with production-shaped data. Before go-live we run three drills: a deletion drill that proves a request propagates end to end, a rollback drill, and a load test on the routing and dedupe logic. Cutover is staged by object, never big bang, with the old org readable for a defined freeze period.
CRM Discovery & Process Mapping
1-2 WeeksWe shadow your sales, service and operations teams to map the real process — including the spreadsheets and workarounds nobody documents — then define the data model, integrations and success metrics.
Architecture & UX Design
2-3 WeeksWe design the object model, permission matrix and screen flows so reps complete a record in fewer clicks than they do today. Adoption is designed in, not trained in afterwards.
CRM Build & Integration
6-14 WeeksAgile sprints with a working environment from week three. We build the CRM modules, automations and dashboards, then connect email, calendar, telephony, billing, ERP and marketing systems.
Data Migration & UAT
2-4 WeeksWe clean, de-duplicate and migrate your existing records with a dry run first, then run user acceptance testing with the people who will live in the system daily.
Rollout, Training & Support
2-3 WeeksPhased go-live by team, hands-on training, admin handover documentation and a hypercare period so adoption does not stall in week two.
Technologies We Use for CRM Development
Platform choice follows the buyer, not our preference. Salesforce work covers Sales Cloud and Service Cloud, Flow and Apex, Lightning Web Components, Data Cloud for identity resolution, and Shield when field-level encryption and event monitoring are required by a bank, credit union or health system. HubSpot work covers custom objects, programmable automation and the CRM API for companies that want speed over configurability. Microsoft Dynamics 365 Sales suits shops already standardized on Entra ID and Power Platform, and it deploys naturally into Azure South Central US, the Texas region, which Microsoft pairs with North Central US in Illinois. Custom CRM builds run on Postgres with row-level security, Next.js and a typed API layer. Around the CRM we build on Segment or RudderStack for event collection, Fivetran or Airbyte for ingestion, dbt on Snowflake or BigQuery in GCP us-south1 in Dallas for the analytics layer, and Hightouch or Census for reverse ETL back into the CRM. Messaging runs through Twilio, SendGrid, Braze or Customer.io with consent state checked at send time rather than at list build time. Consent management sits on OneTrust or Osano. Integration middleware is MuleSoft, Workato or Boomi depending on what the buyer already licenses.
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