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REIT LIMITEDAI & technical delivery
AI automation & agents

AI Workflow Automation

Make a repeatable process easier to run.

AI workflow automation connects a business trigger to an agreed result through defined steps, rules and approved systems. It can include AI for interpretation while keeping permissions, human approvals and recovery explicit.

REIT Limited · Bangladesh-based AI services and technical-delivery company

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See the work in context

A practical scenario.
A decision you can inspect.

Explore the inputs, human controls and trade-offs behind a proposed use case.

Download example data (CSV)
Fictional case study · Northstar Service DeskSynthetic data · not a REIT Limited client result
enquiries / illustrative scenario

Service enquiries, ready for the CRM

A fictional technical-services company moves email enquiries into a shared CRM. Copying, routing and drafting happen in separate tools. A coordinator has to reconstruct context before replying.

Proposed workflow
Validate fields · Check duplicates · Draft for review · Update the CRM
Human control
A sales coordinator approves external messages and handles missing information.

Human effort per month

Hours · review included
0160 hours
92 hmodelled capacity change / month

57.5% less human effort under these assumptions. This is not cash savings.

Synthetic incoming workload mixComplete fields: 840 (70%); Missing context: 240 (20%); Duplicate candidates: 120 (10%). Total 1,200 enquiries.1,200ITEMS / MONTH

Workload mix

  • Complete fields70%
  • Missing context20%
  • Duplicate candidates10%

Assumed distribution, not measured activity.

Inspect the data, calculation and pilot decision
Northstar Service Desk: fictional assumptions for a representative month
Input or calculated measureIllustrative value
Monthly in-scope volume1,200 enquiries
Before: human minutes per item8
Proposed: human minutes per item3
Additional operating hours per month8
Baseline human hours per month160
Proposed human hours per month68
Net capacity change per month92 hours
Illustrative pilot window4 weeks; not a delivery commitment
Assumed mix: Complete fields840 items
Assumed mix: Missing context240 items
Assumed mix: Duplicate candidates120 items

Calculation: 1,200 × 8 ÷ 60 = 160 baseline hours. Proposed: 1,200 × 3 ÷ 60 + 8 operating hours = 68 hours.

Pilot decision: Can each enquiry reach the correct owner without duplicate records, with review time included?

Limit: Capacity released is useful only if it can be redeployed. This model does not assume higher sales.

Fictional worked example. Future human handling includes review, exceptions and corrections; operating hours are additional. Compare the same workload before drawing a conclusion.

The business problem

Make a repeatable process easier to run.

A request arrives by email, someone copies it into a spreadsheet, another person checks the details, and an update eventually reaches the customer. The delay often sits between systems. REIT Limited maps those handoffs before deciding which parts should be automated.

Where it fits

Useful starting points.

Enquiry intake and routing

Classify incoming requests, check required information and route each item to the appropriate queue. Start with the enquiry fields, routing rules and an owner for exceptions.

Document-led operations

Extract agreed fields from incoming documents, flag incomplete records and prepare them for review. Provide representative samples and a clear definition of an acceptable extraction.

Approvals and notifications

Move internal requests through named reviewers, record decisions and send approved notifications. Define escalation rules for overdue, conflicting or rejected requests.

Scope & deliverables

What a scoped engagement can include.

A process you can inspect

A trigger-to-completion map, data requirements, system connections and exception paths. The map shows what remains manual and who can approve an action.

A tested workflow

Configured triggers, rule-based routing, AI steps where useful, document intake and notifications. Duplicate checks and execution logs make the work easier to trace.

A practical operating guide

Acceptance checks, monitoring signals, recovery steps and handover notes. Support and later changes are scoped separately from the initial build.

What we need from you

Bring the current process, a few redacted examples, the systems involved and a person who can explain the exceptions. Access to APIs or another approved connection method is assessed before a delivery commitment.

Where the boundary sits

A workflow cannot repair unclear ownership or unreliable source data by itself. Unapproved system access, unlimited changes and unattended high-impact actions are outside the initial scope.

Process & control

Know what happens next.

From input to an accountable outcomeIllustrative workflow
  1. Request received
  2. Check and route
  3. Review exception
  4. Record completion

An illustrative service-enquiry workflow classifies a request, prepares a draft response, waits for approval and updates the CRM. Missing information returns to a review queue. This is a design example, not a reported client result.

Quality & operation

Agree the evidence before the build.

AI Workflow Automation — proposed acceptance checks
CheckWhat the evidence should show
CompletionDid the agreed output reach the right system?
ExceptionsCan a missing field, duplicate or unavailable API be handled?
RecoveryCan an authorised operator retry safely or return to the manual process?

Acceptance measures, access boundaries, exception handling and operating responsibility belong in the scope. The assessment should also separate implementation work from vendor usage, licences, hosting, support and approved change requests.

Buyer questions

A few details that matter.

When is ordinary automation enough?

Use rules or an existing software feature when inputs and decisions are predictable. Add AI only where interpretation creates a useful benefit that can be evaluated.

What does a person still approve?

Approval points are agreed around the effect of an action. Customer messages, material record changes and spending decisions may require explicit review; low-risk steps can follow approved rules.

How will we know the pilot worked?

Agree representative test cases, completion criteria, exception behaviour and review effort before building. Compare the pilot with the current process using supplied baseline data.

Keep exploring

Connect the right capabilities.

SERVICEAgentic AI DevelopmentPLATFORMSales & CRM PlatformRESOURCEWorkflow Scoping Checklist
Start with one useful change

What would you like your business to do better?

Tell us about the process, the systems and the result you need. We can discuss a sensible first scope.

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