AWS AI for HubSpot customers
Gildloop runs the governed AI loop behind HubSpot. Data from your ERP, billing, support and files goes out to Amazon Bedrock and AgentCore, gets smarter, and comes back to the HubSpot record where your teams already work.
HubSpot in front · AWS AI in the middle · results back in HubSpot
The loop
Your customers' HubSpot portal sits beside an ERP, a billing system, industry apps, and a pile of email, Slack threads and documents that never reach the CRM. Breeze does strong work inside HubSpot. Gildloop handles the territory around it, then hands the result back to HubSpot.
Where your data lives
The Gildloop layer
The tier that joins everything together, built in your AWS account on Amazon Bedrock and AgentCore.
The engine
What comes back
Every pass of the loop ends in HubSpot. Reps, marketers and service teams see the result on the record, in a list, or in a workflow branch, without opening another tool.
Order history, billing status, clinical activity or inventory sit on one record, synced live from the system of record and never re-keyed.
New memberships or RFQs in connected systems create HubSpot contacts and deals, rotate to the right rep, and start a sequence.
Back-office billing data becomes renewal dates and churn risk on the record, ready for retention plays.
A HubSpot quote checks live stock and posts to billing. The rep watches status change without filing a finance ticket.
Breeze scores leads, drafts outreach and flags health risk more accurately once the data underneath is complete and current.
HubSpot bookings reconciled against ERP actuals, stock beside pipeline, and margin by segment on a single dashboard.
Layer by layer
| Layer | In HubSpot today | What Gildloop adds on AWS |
|---|---|---|
| Front end & record | Smart CRM, Marketing, Sales and Service Hubs | Stays in HubSpot. It remains the daily workspace. |
| Data prep & analytics | Datasets, custom reporting, Breeze Intelligence | Heavy processing on AWS, with results written back to HubSpot |
| Production AI | Breeze Assistant and Breeze Agents for in-suite work | Bedrock and AgentCore agents for regulated, large-scale or custom autonomous work |
| Interoperability | Remote MCP server, CRM APIs, webhooks | AWS-hosted agents that connect over the same MCP standard |
| Governance | Audit Cards, approvals, platform controls | Guardrails, human oversight and audit trails that extend past the platform |
MCPConnected through HubSpot's remote MCP server. Your data of record stays under HubSpot's control; the loop reads, reasons and writes back.
Patterns
The architecture repeats. The source system changes, the AWS work changes, and the result still lands in HubSpot.
Bedrock is HIPAA-eligible and HubSpot supports BAAs on qualifying Enterprise configurations. Protected data is tokenized before it reaches the front end.
Representative outcome: zero protected-data incidents · ~78 min/day saved per clinician
HubSpot runs the client-facing work. Core systems such as Fiserv or Oracle FlexCube connect through a governed integration with a full audit trail.
Representative outcome: complex-case resolution time cut 55%
A Bedrock agent detects and corrects errors in high-volume, rules-heavy documents such as orders, RFQs and invoices, then posts the clean record to HubSpot.
Representative outcome: 840 manual hours/month removed · error rate 8% → 0%
Voice AI, routing and deflection beside Service Hub at volumes past an in-suite agent's scope, plus roll-up views across many units without forcing one portal.
Representative outcome: 15,000+ calls/day · handling time −48% · report turnaround 2 days → 15 min
Outcomes come from production and validation engagements delivered by the EFS Networks team. Results vary by data quality, environment and use case.
AWS funding
Our delivery team holds AWS Advanced Tier status and both the Generative AI and Agentic AI Competencies. That standing opens AWS programs that fund discovery and proofs of concept for qualifying HubSpot customers.
Check if you qualifyAWS can underwrite the initial AI opportunity assessment, often at little or no cost to you.
A working pilot on your real HubSpot data, with early cost offset by AWS.
AWS field teams engage alongside us on the deal.
In qualifying cases, AWS funding extends into the build, including HubSpot components in the data flow.
How we engage
Review your systems, workflows and pain points to find integration, automation and AI opportunities.
Prioritized roadmap with timelines and budget estimates
Prove the top use case on real HubSpot data before committing to a full rollout.
Production blueprint and a scale-up plan with measured ROI
Phased rollout of integrations, AgentCore agents, workflow automation and governance.
Deployed solution, documented workflows, trained users, KPI dashboards
Monitoring, cost control and new loops as the business grows.
Optimization roadmap and a pipeline of next initiatives
No rip-and-replace. Your systems of record stay where they are, HubSpot becomes the place where everything shows up, and AWS pays for much of the first step. Bring us a workflow that stalls today.