For Engineering & Platform Teams

Stop being the bottleneck for every customer integration

Build the integration template once. Your onboarding team deploys it to every new customer, within the security boundaries and policies you've defined.

You stay in control. You just stop being the one doing the work for every customer.

Most teams today have customer success or implementation upload your API spec, and Askel auto-generates the template from there. If you'd rather integrate Askel directly into your product's backend, that's a supported path too.

The integration tax that comes with every customer

It's not the technical complexity that's the problem. It's doing it over and over.

Unpredictable sprint interruptions

Integration tickets arrive without warning and don't fit neatly into sprint planning. Each one blocks a customer go-live, so they always feel urgent.

The same work, slightly different, for every customer

Every customer's Salesforce is configured differently. You write the same integration logic each time, just with different field names. It never feels worth abstracting, but it adds up.

Onboarding team can't self-serve

The people with the most context about what each customer needs don't have the tools to act on it. Everything routes through you.

Maintenance compounds with every customer

Each integration you shipped six months ago is quietly waiting to break. When a customer's admin adds a custom field or rotates their API key, you're the one who hears about it.

What Askel.ai changes for engineering

You build the infrastructure once. The work scales without you.

Build the template once — your way

Define the integration pattern: what systems can connect, what data flows, what operations are allowed. Two paths: customer success or implementation uploads your API spec and Askel auto-generates the template (most common today), or engineering integrates Askel directly into your product backend. Either way, done once. Your onboarding team handles every customer deployment from there.

Set the guardrails, then step back

Endpoint allow-lists, auth methods, approval policies, data scope: you configure all of this in the template. Onboarding teams can only configure within the bounds you've set. You don't need to review every customer deployment.

Drift detection that doesn't page you at 2am

When a customer's API schema changes, Askel detects it automatically and surfaces it to the onboarding team. Safe patches are proposed and reviewed before applying. Onboarding resolves most issues without involving you.

Full audit trail for compliance and debugging

Every API call, every credential use, every data transformation: logged and queryable. When a customer escalates or compliance asks for evidence, the data is already there.

Bring your own OAuth or use managed auth

Register your OAuth apps or let Askel manage them. Token storage, refresh, and rotation are handled automatically, per customer, fully isolated.

Extend with custom logic when needed

Askel handles the 80%: the repeatable configuration work. When you need custom transformation logic or a connector that doesn't exist yet, you write it once and it becomes part of the template.

What engineering still owns

Askel.ai doesn't remove engineering from the loop. It removes engineering from the queue.

You still define and own the integration architecture, security policies, custom connector development, and the exceptional 20% of cases that need code. What you stop doing is the repetitive 80%: connecting customer X's Salesforce, mapping their fields, running the deployment for the fourth time this month.

Integration template design and architecture
Security policies and endpoint allow-lists
Custom connector development
Complex transformation logic
Compliance and data governance controls
Exception handling for novel scenarios

Want to see this from your onboarding team's perspective?

How it changes their day-to-day workflow.

For onboarding teams
Ready to ship integrations faster?customers faster?implementations faster?
Join onboarding teams delivering integrations without the engineering queue,
catching drift before it breaks, and hitting go-live dates.
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