From customer kickoff to go-live

Askel.ai separates two things that used to be tangled: setting up an integration once, and delivering it to each customer.

Your customer success or implementation team uploads your API spec and defines what the playbook should do. Your onboarding team then configures per-customer connections without filing tickets or waiting in a queue.

See it in a live demo

01One-time integration setup

Upload your API spec. Askel builds the template.

Who: Customer success or implementation team

Time: Days, not weeks. Once per integration type.

Upload your API spec and define what the playbook should do. (A playbook is the operations your integration runs per customer: sync orders, push status, validate records.) Askel generates the integration template.

API spec uploaded and parsed by Askel

Playbook defined and integration template generated

Security policies and guardrails in place

Onboarding team can now self-serve per customer within these bounds

02Your team configures per customer

Onboarding team takes it from here.

Who: Customer onboarding team

Time: Hours per customer, not weeks

When a new customer is ready for integration, your onboarding team selects the right template and connects to the customer's specific instance. Askel auto-discovers the customer's schema (their custom fields, objects, and data structure) and proposes field mappings. Your team reviews and approves. No SQL, no code.

Customer's systems are connected and authenticated

Field mappings are proposed and reviewed by your team

Edge cases flagged for quick human confirmation

03Validate before anything goes live

Dry-run with real data. No surprises at go-live.

Who: Customer onboarding team

Time: Minutes to validate a full integration run

Before deploying, your team runs a preflight check with real customer payloads. You see exactly what data will flow, where it will land, and what's missing or mismatched. This step catches the issues that would otherwise surface as a support ticket two days after launch.

All mappings verified against real data

Missing fields and type mismatches flagged

Confidence before go-live, not guesswork

04Go live and monitor

One-click deploy. Ongoing health monitoring.

Who: Customer onboarding team

Time: Ongoing, no manual checks needed

Deploy the integration. Askel monitors sync health per customer: data volumes, error rates, latency. When a customer's API schema changes (new custom fields, renamed objects, revoked permissions), Askel detects the drift automatically and surfaces it in your dashboard. Your team resolves most issues directly. Edge cases get flagged for review.

Integration health visible per customer

Schema drift detected automatically

Safe patches proposed and approved before applying

What changes

How each step of the integration process shifts.

Step	Without Askel.ai	With Askel.ai
Who connects customer systems	Internal ticket queue, weeks of waiting	Onboarding team (self-serve)
Schema discovery	Hand-written adapter, custom code per customer	Askel auto-discovers in minutes
Field mapping	Manual spreadsheet or Jira comments	AI-proposed, team-approved in the UI
Pre-go-live testing	Manual staging deploy	Preflight dry-run by onboarding team
Post-launch monitoring	Reactive: customer reports the break	Proactive: drift alerts before impact
When schema changes	Internal ticket, unknown timeline	Auto-detected, patched with approval