AI Automation Platform
Workflows that read documents, route work, and answer from your own files, with a person still on the exceptions.
Industry Platforms
The platform
Operations and product teams that repeat the same intake, classification, or first reply across email, PDFs, and tickets.
Automation here means a pipeline, not a personality. A document lands, fields are proposed, a person confirms the ones that matter, and the record is written to CRM, ERP, or a ticket. A staff assistant answers from the policies you uploaded, with citations, and hands off when it does not know. XiteHub designs the workflow, the prompts, and the human step. We do not hide a model behind a black box your ops lead cannot audit. If a no-code tool already does the job, we will say so and integrate it instead of rebuilding.
Book a walkthroughThe gap
What is usually broken
People copy fields from PDFs, forward the same email, and answer the same questions from a drive nobody trusts. Off-the-shelf bots do not know your documents or your approval path.
Approach
How we fit it
XiteHub builds automation on the processes you already run. We start with one intake or one queue, not a company-wide brain. Models sit behind a workflow you can inspect: what was extracted, who approved, what was sent. We have shipped AI-assisted products and treat retrieval as a search problem over your files, not a demo chatbot on a marketing PDF. Founded in Karachi in 2021, we deliver this the same way we deliver the other 80+ products: scoped, reviewed, and owned by you.
Capabilities
What ships in the first release
- 01
Document intake: PDF, image, or email into structured fields you define
- 02
Human confirm step on low-confidence extractions before anything is posted
- 03
Routing and approvals that follow the same path your team already uses
- 04
Answers from your manuals, tickets, or policies with the source attached
- 05
Connectors into CRM, ERP, helpdesk, or the database you already own
- 06
Logs of prompts, outputs, and who overrode the machine
Modules
How the platform is cut
We go live on the slice you need first. The rest follows when the operators are ready.
01
Intake
Inboxes, uploads, or API. Files are stored and classified before a model runs.
02
Extraction
Fields and tables from the documents you show us. Confidence scores decide what needs a person.
03
Workflow
Steps, assignees, and SLAs. The model does not skip an approval you required.
04
Knowledge answers
Retrieval over the corpus you upload. Replies include the passage they came from.
05
Connectors
Write-back to the systems of record. Failures retry and alert. Nothing silent.
Why it lands
What changes for the team
- 01
Intake time drops because people review fields instead of typing them
- 02
The same exception always goes to the same queue
- 03
Staff answers stay inside the documents you approved
- 04
Ops can see what the model did last Tuesday
- 05
You are not paying a seat for a bot that cannot read your real forms
- 06
The workflow can grow to a second process without a new vendor
Rollout
How we implement it
Workshops first, then a live slice, then the rest of the modules. Operators sign off before we cut over.
01
Pick one process
Choose a single intake or queue with volume and a clear success test. Do not start with ten.
02
Samples and rules
Collect real documents and the exceptions people already handle by hand.
03
Pilot pipeline
Extract, confirm, and write to a staging system. Measure error types, not only speed.
04
Human step
Set the confidence bar and the owner. Automate only what they stop touching.
05
Production write-back
Connect the live system of record with logs and a rollback path.
06
Next process
Reuse connectors and the confirm UI. Do not rebuild a platform for every queue.
Fit
Where this platform belongs
- 01
Invoice or application PDFs that still get retyped into ERP or a sheet
- 02
A support inbox that asks the same policy questions every day
- 03
A sales team that wants first-pass lead notes from a form or a card, then a human
- 04
An internal search over contracts or SOPs that people currently ask a colleague to find
Connects
Systems this sits beside
- Email and document stores
- CRM and helpdesk
- ERP or accounting for posted documents
- Model providers you approve (OpenAI, Azure OpenAI, or self-hosted where required)
- Slack or Teams for the confirm step, if that is where the team lives
Stack
What we usually ship it on
- Python
- Node.js
- PostgreSQL
- Next.js
- OpenAI API
- Azure OpenAI
- Vector search
- Docker
- AWS
Hosting
Where it can live
- 01
Cloud hosted
Managed on AWS, Azure, or GCP when you want updates handled for you.
- 02
On-premise
Private install in your rooms when control or compliance requires it.
- 03
Hybrid
Mix cloud and on-premise across teams or sites when one model is not enough.
FAQ
Questions, answered
Scope, ownership, and how we cut over AI Automation Platform without a weekend freeze.
Continue
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