Insai product ecosystem

Put the routine work on autopilot, under your approval.

Bounded AI agents that take multi-step work end to end — and stop at the line you draw.

Give an agent a goal and the tools to reach it; it plans, acts across your systems, and hands back anything contractual, financial or irreversible for a named person to approve — with every step logged and reversible.

Runs on the same Insai engine behind ConstructINS, RAG.INS and Voice.INS · Deployed cloud, on-prem or hybrid

AI Agents · Agent ConsoleInteractive demo

Tasks automated

128

▲ 22

Hours saved

340 h

Awaiting approval

3

Success rate

98 %

Throughput forecast

Planned Forecast
96

Within policy

AI priority briefing

Invoice-matching agent cleared 128 items; 3 exceptions flagged for your approval.

Exposure 340hConfidence 96%Review
Built to move

What it’s built to move

Typical targets for this class of system — not a client result; the demo shows illustrative sample data.

Hours saved

Per team, per month

End to end

Multi-step tasks

Approval-gated

For risky actions

Audit-ready

Every step logged

One intelligence layer under all of it

The platform decides, acts and proves — it doesn't just report.

Every Insai product runs on the same engine. It reads the systems you already own, agrees one trustworthy number per metric, ranks the actions worth taking with the money and time at stake, acts on the reversible ones inside the policy you set, and then checks the number actually moved. A dashboard tells you what happened; Insai tells you what to do next, does the safe part, and shows you it worked.

You have talented people spending their day on repetitive, multi-step busywork, and off-the-shelf AI that answers questions but never actually does anything. AI Agents close that gap: they take the work end to end, inside the limits you set.

One number, sourced

Every figure carries its source, its as-of time and how it was calculated — so a team can trust it and defend it.

Ranked actions, not alerts

Not a wall of red. The few actions that matter, ordered by the value or risk at stake, each with an owner and a due date.

Acts inside policy

Reversible steps run on their own within the limits you set; anything contractual, financial or safety-critical waits for a named person.

Proves the outcome

It verifies the metric moved. If it didn't, it re-routes and tries the next-best path — the loop closes.

Where the money leaks

Four leaks, each closed the same way.

The problem, the signal that catches it, the action to take, and the result you can measure.

Work that eats the team's day

Hand the repetitive multi-step tasks to an agent.

Signal
A recurring task fits a defined procedure and a set of tools.
Action
An agent runs it end to end, inside policy.
Verified result
Hours returned to the team, done the same way every time.

AI you can't trust to act

Bounded autonomy, not a black box.

Signal
An action is reversible and within the agent's remit.
Action
It acts on its own; anything risky waits for a named approver.
Verified result
Speed, without giving up control.

Answers that never become actions

Close the loop from insight to done.

Signal
A recommendation needs steps taken across several systems.
Action
The agent executes the steps and records each one.
Verified result
Decisions that actually get implemented.

No visibility into what AI did

Every step logged and reversible.

Signal
An agent takes an action on your behalf.
Action
It writes an audit trail with the reason and the source.
Verified result
A full account you can review — and undo.

How it works

Connect, reconcile, decide, act, verify.

One observable chain from your source systems to an accountable action — with a person in the loop wherever it is contractual, financial or safety-critical.

  1. 01

    Define

    Set the goal, the tools an agent may use, and the limits it must stay inside.

  2. 02

    Connect

    Wire the systems and APIs the agent needs — through connectors, not a re-key.

  3. 03

    Plan

    The agent breaks the goal into steps and lines up the actions to take.

  4. 04

    Act / approve

    Reversible steps run on their own; risky ones wait for a named person.

  5. 05

    Verify

    Check the work landed and was logged; if not, re-route and try again.

Connects to what you already run

  • Webhooks & REST APIsDemonstrated
  • Email, calendar & docsPilot connector
  • ERP / CRM — SAP, Odoo, SalesforcePilot connector
  • RAG.INS & Voice.INS as toolsPilot connector
  • Custom internal toolsRoadmap

Demonstrated means it works in the demo on sample data; pilot connector means we build and connect the real feed during your pilot; roadmap is planned. We never present a seeded integration as a live connection.

What it does

Everything AI Agents does.

Task automation

Bounded agents that take a defined, multi-step task from start to finish across your systems.

Tool use & integrations

Agents call the tools and APIs you connect — email, ERP, CRM, your own endpoints — to get work done.

Human-in-the-loop approval

Reversible steps run on their own; anything contractual, financial or irreversible waits for a named approver.

Multi-agent orchestration

Chain specialised agents into a pipeline, each doing its part and handing off with context.

Guardrails & policy

Set what each agent may do, spend and touch — and it stays inside those limits.

Audit trail

Every action logged with its reason and source, so you can review exactly what happened.

Scheduling & triggers

Run on a schedule, on an event, or on demand — the agent picks up the work and reports back.

Grounded on your data

Agents act on your own systems and documents, not guesses from the open web.

For your role

Who it’s for

  • Operations lead

    The work agents cleared, what's queued, and what needs approval.

  • Team manager

    Hours returned and the tasks now running on their own.

  • IT / automation

    Which tools each agent uses and the limits it runs inside.

  • Compliance

    A full, reversible audit trail of every action taken.

In practice

What it looks like on the ground

  • Match invoices to POs and receipts, clearing the clean ones and flagging the rest for approval.
  • Onboard a new hire — create accounts, assign access, schedule training — in minutes, not a day.
  • Triage inbound requests, gather the context, and draft the response for a person to send.
  • Reconcile data across two systems on a schedule, and report the exceptions.
Security & trust

Built to be trusted with your data

Insai is delivered by Epsilon AI Global, which holds ISO 27001 (information security) and ISO 9001 (quality) management-system certifications, accredited through IAF / EGAC, alongside an ITIDA IT-activities licence. The certified entity, scope and validity are on the certificates and available for verification; data residency and processing are configured per deployment and documented in a data-flow diagram provided for review.

ISO 27001

Information security

ISO 9001

Quality management

IAF / EGAC

Accreditation bodies

ITIDA

Egypt IT licence

Demo access is credential-gated

The routine work, done end to end — inside the limits you set, with a person on every risky call.

AI Agents isn’t self-serve. There is no login on this page. You request access, our team issues you a demo email and password, and we walk you through it on your own use case — the same white-glove start as every Insai product.

  1. 1

    Fill the form

    Tell us your company and the problem you want to solve — name, work email and phone.

  2. 2

    The team calls you

    Epsilon customer success reaches out to understand your use case, usually within one business day.

  3. 3

    You get an email & password

    We issue you a demo email and password for a guided environment — access is credential-gated, not self-serve.

  4. 4

    We walk you through it

    A guided walkthrough on your own scenario, so you see it working on the problem you actually have.

Request demo access

No self-serve login. Tell us about your use case and the team will issue your credentials and guide you through.

We use your details to respond to this request only.

Access to AI Agents is by guided demo. The outcomes shown are typical targets for this class of system, not measured client results; the interactive mockup shows illustrative sample data. Scope and timelines are confirmed per engagement.