CRM Configurations & Integrations
CRMs that work the way your team does
We configure Salesforce, HubSpot, and custom CRMs with AI-enriched lead flows, automated scoring, and deep integrations with your product, so your sales and operations teams stop working around their CRM.
01Overview
What we deliver
Most CRMs ship with more features than teams use and fewer of the ones they actually need. We configure, customize, and integrate CRMs to match how your team actually works, then layer AI on top for lead scoring, enrichment, and automation.
02Why choose this service
Key benefits
01
Configuration, not customization
We use what the CRM gives you first. Custom code only when out-of-box can't deliver.
02
AI-enriched workflows
Lead scoring, enrichment, and next-best-action automation powered by your data and the broader web.
03
Deep integrations
CRM connected to your product, Slack, email, Gmail, LinkedIn, and data warehouse without manual sync.
04
Team adoption focus
We train your team, document workflows, and design for the reps who actually use the system day to day.
03How we work
Our process
01
Workflow Mapping
How your team actually moves leads, deals, and accounts. What's broken and what's manual.
02
Configuration & Automation
Objects, pipelines, fields, automations, and permissions. Built to match the mapped workflow.
03
AI & Integrations
Lead enrichment, scoring, and integrations with product data and external tools.
04
Rollout & Training
Team training, documentation, and a handover that actually sticks.
04Applications
Common use cases
05Technologies
Tools we use
06FAQ
Common questions
Do you migrate from one CRM to another?
Yes. We handle data mapping, cleanup, and staged migrations with testing before cutover.
Can AI actually help our sales team?
For lead enrichment, scoring, and draft outreach, yes, when grounded in real data. For judgment calls, no. We build it where it helps and leave it out where it doesn't.
07Explore more
Other services
UI / UX Design
In-house design systems, prototypes, and polished interfaces, delivered alongside engineering, so the design matches what we ship.
Retrieval-Augmented Generation (RAG)
Grounded LLM systems that retrieve from your documents and data before answering, with proper chunking, reranking, and evaluation.
Model Fine Tuning
Fine-tune LLMs and custom models on your data when prompting isn't enough. Supervised, preference-based, and domain-specific tuning.
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