Stop waiting on engineering for every go-live
You have the customer context. Askel.ai gives you the tools to act on it: connect their systems, map their data, and deliver go-lives without an engineering ticket.
The problems customer onboarding teams run into every week
And how Askel.ai changes each one.
Before: You know what the customer needs, but the work sits in an engineering queue for weeks.
After: Configure integrations yourself using templates your engineering team has already approved.
Before: Every customer's Salesforce or HubSpot is set up differently. You have to translate that into a ticket.
After: Askel auto-discovers each customer's schema. You see their actual fields and objects, not a generic spec.
Before: You can't test the integration until engineering deploys it. By then it's too late to catch problems.
After: Dry-run with real customer data before anything hits production. Catch issues before go-live, not after.
Before: When something breaks post-launch, you're waiting on engineering to diagnose and fix it.
After: Monitor integration health yourself. Askel detects drift and alerts you, and you resolve most issues without a ticket.
Your workflow from kickoff to go-live
Engineering builds the integration templates once. Your team deploys them to each new customer.
Connect the customer's systems
Select the customer's CRM, ERP, or other platform from the catalog. Askel handles OAuth and authentication. No credentials to manage manually.
Map their data
Askel discovers the customer's schema automatically and proposes field mappings. You review, adjust where needed, and approve. No SQL, no code.
Validate before go-live
Run a dry-run with real payloads. See exactly what data will flow and where. Flag issues before the customer is affected.
Go live and monitor
Deploy in one step. Monitor sync health, get alerted on drift, and resolve the majority of issues directly without filing a ticket.
This doesn't bypass engineering. It frees them.
Your engineering team defines which systems can be connected, which data can flow, and what guardrails apply. Every action is logged and auditable. You work within the boundaries they set, so they can focus on building the product, not servicing integration tickets.
The result: faster go-lives for your customers, fewer interruptions for engineering, and a process that scales without adding headcount to either team.
“Askel.ai helps Job&Talent's operations team save 94% of manual work each week on applied processes by automating customer-specific setups.”
Are you evaluating this for your engineering team?
See how Askel.ai reduces the integration burden on engineering.
catching drift before it breaks, and hitting go-live dates.
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