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sehaXG

Why sehaXG

Accuracy first. Then automation.

sehaXG is revenue orchestration for healthcare in Bahrain: run your revenue cycle from the first call to the payment, learn from your own denials, and put AI agents on top. We believe agents only help once the work underneath them is owned and right.

In sehaXGWork
sehaXG Waiting on list grouping open waits by who holds them: Finance holding a hip implant purchase for 24 days, the treating doctor a new surgery date for 8 days, and Procurement six deliveries to theatre and the cath lab, each with its owner and next chase.
OrchestrationIntelligenceAI agents

Built around your team

Most revenue leaks aren't dramatic.

They are cases nobody owns, lessons nobody wrote down and denials nobody argued. An approval that expired while the case sat with Finance. A denial a senior biller would have prevented. A claim written off because nobody had time to explain why it should be paid. We build for those gaps first.

Read: three habits of a revenue team that gets paid

Every dinar has an owner

A name, a next step and a date on every case, and every wait on another department on the record.

Explore Orchestration

Hand-offs that don't drop

Approvals become billing work before they lapse; waits are chased on time and raised when they pile up.

Experience in the system

Rules proposed from your own denials, approved by your managers, checked on every claim.

Explore Intelligence

Reasons, not a list

A reason for every disputed claim, ready for the payer negotiation, and numbers that defend your team.

Agents on top

Agents check statuses and submit claims, authorization requests and appeals, inside owned cases.

Explore AI Agents

Built for Bahrain

Amounts in Bahraini dinars, and the way Bahrain's hospitals, clinics and payers work.

A closer look

Run it. Learn from it. Automate the rest.

Owned work first, intelligence on top, and AI agents for the repetitive digital steps.

Our mission

Nothing stalls quietly.

Give every case an owner, a next step and a date, and make every wait between departments visible, so a stuck case is seen while there is still time to act.

  • Owners and dates
  • Waits on the record
  • Stuck work raised
sehaXG Waiting on list grouping open waits by who holds them: Finance holding a hip implant purchase for 24 days, the treating doctor a new surgery date for 8 days, and Procurement six deliveries to theatre and the cath lab, each with its owner and next chase.

Our focus

Get it right before it goes out.

Check claims and authorization requests against the payer's rules and the rules learned from the hospital's own denials, before submission rather than after the denial.

  • Learned rules
  • Checks before submission
  • Fixes from the same screen
sehaXG claim checks before submission: the bill, patient share and filing deadline, and a learned check asking for the referring doctor's notes, approved by the revenue manager after 4 earlier denials.

Our vision

Practical AI, on work that is already right.

Give digital agents specific jobs (check a status, submit a claim, an authorization request or an appeal) on owned cases with the hospital's rules, and keep every step visible.

  • Defined digital tasks
  • Human review and control
  • Actions recorded with the case
sehaXG / Revenue workspaceSynthetic demo
WORKSPACE / AGENTS

AI agent activity

Digital follow-up, with a clear record.

sehaXG digital agentCase XG-0248 · Claim follow-up
Paused
  1. 1
    Read the permitted case contextWithin the approved task scope
  2. 2
    Check the digital payer statusWithin the approved task scope
  3. 3
    Request review of the next actionHuman review before submission
  4. 4
    Submit the approved packageAuthorized digital channel
  5. 5
    Record the receipt and outcomeWithin the approved task scope
Activity record
01

Case scope verified

02

Preparing context

Submission requires approval

The reviewer sees the evidence and intended destination before the agent continues.

Synthetic event log
Watch the example or advance a step.
Illustrative product experience · No patient data

A little more clarity

Your questions,
answered.

Why start with orchestration rather than AI?

Because most revenue is lost between people, not inside one task. Agents can't fix a case nobody owns. Once every case has an owner and every wait is visible, intelligence and agents have something reliable to work on.

What does the expected payment promise?

It shows what your payment terms say a claim should pay, not a guaranteed payer outcome. Your team can see the price, rule and patient share behind it.

What do the AI agents do, and what don't they do?

They check claim and authorization statuses, and prepare and submit claims, authorization requests and appeals through digital channels, inside the cases your team owns. They stop for a person wherever your rules say so, every step is recorded with the case, and they don't make phone calls: a case that needs a conversation goes to its owner.

Let’s move forward

Start with the habit that hurts most.

A case that stalled between departments, a denial that keeps coming back, or a contract meeting coming up. Pick one, and see it working on your own cases.

Explore our solutions