Repetitive tasks
The same steps are done by hand every day and depend on people remembering them. A defined workflow runs them the same way each time.
AI services and technical delivery from Dhaka
REIT Limited is a Bangladesh-based AI services and technical-delivery company. We plan, build and support workflow automation, AI agents, AI orchestration, marketing systems, IT technical support and business platforms, designed so that a person approves any action that affects customers, records or spend.
Enquiry workflow one run, four stages
InputWeb form, 09:12
Enquiry received
“Can you connect our helpdesk to HubSpot?”
Processing09:12
Classified and drafted
Type: integration project. Owner: sales. Reply drafted from approved content.
Human approval09:13
Waiting for a person
Account manager reviews the draft and edits one sentence.
Outcome09:16
Sent and recorded
Reply sent. CRM updated. Run logged with owner and time.
Six common situations and the service that addresses each one.
The same steps are done by hand every day and depend on people remembering them. A defined workflow runs them the same way each time.
CRM, helpdesk, documents and messaging do not share information. Orchestration connects them as one managed process.
AI is used ad hoc and the brand voice drifts. A governed process moves each piece from brief to approved publication.
Agents repeat answers that already exist in documents. A support platform suggests answers with their sources.
Devices, accounts and applications fail and nobody owns the fix. Scoped technical support gives each issue a route.
A launched assistant gets worse and nobody can say why. Assurance tests it before each change and monitors it in use.
REIT Limited delivers four groups of services: AI automation and agents, AI orchestration and integrations, AI marketing, and IT technical support. Each engagement starts with an assessment of one process and ends with an operating guide.
Repeatable task automation and bounded AI assistants built for a defined business outcome.
Agents, models, workflows and connected systems coordinated as one managed business process.
AI and automation applied to marketing preparation, execution and measurement, with human approval.
Support for business technology and for the AI systems connected to it.
Most organisations now use AI somewhere, but few have scaled it. Published surveys show the gap: 88% of respondents told McKinsey in 2025 that their organisation uses AI in at least one function, while Gartner found in 2026 that 22% of organisations have scaled it across business units.
Each figure links to its published source. See AI adoption by market
88%
of survey respondents said their organisations use AI in at least one business function in 2025, ten percentage points more than in 2024.
McKinsey & Company, 10 December 2025Survey of 1,993 respondents, June to July 2025
22%
of organisations have successfully scaled AI across multiple business units or adopted an AI-first approach.
Gartner, 1 September 2026Survey of 1,303 organisations with at least USD 50 million revenue, January to April 2026
40%+
of agentic AI projects will be cancelled by the end of 2027 because of escalating costs, unclear business value or inadequate risk controls, Gartner predicts.
Gartner, 25 June 2025Analyst prediction, not a measured result
87%
of customers say it is essential for companies to provide an option to reach a human agent when using generative AI in customer service.
Gartner, 4 August 2026Survey of 3,566 customers, February to March 2026
The pattern in the data is consistent: adoption is easy, value is not. Projects stall when the process is not redesigned, when data and integrations are not ready, and when nobody owns the result. Customers also expect a route to a person.
That is why every REIT Limited engagement starts with one process, fixes its approval points before any build, and agrees the acceptance checks in writing. Read the buyer guide
Each platform is a configured build, not an off-the-shelf product. See how they are scoped
Support answers are slow and inconsistent. Support knowledge, conversations and case routing. Built with Agentic AI Development.
Leads wait because intake and follow-up are manual. Enquiry intake, lead records and approved follow-up. Built with AI Workflow Automation.
Campaign work and approvals are scattered. Campaign inputs, approvals and execution status. Built with AI Marketing Automation.
Knowledge is locked in documents nobody can search. Approved documents made searchable with sources. Built with AI & Digital Orchestration.
Three engagements with the measures, the tools and the limit found in each.
Case studySample case study
Brindlemoor Supply Co. · Wholesale distribution, United Kingdom
Purchase orders arrived as PDF attachments in a shared mailbox. Two coordinators retyped each order into the ERP, and urgent orders waited behind routine ones.
A coordinator approves every draft order before it reaches the ERP; low-confidence extractions are flagged line by line.
Median time from email to ERP entry fell from 46 hours to 3 hours, and keying errors found at picking fell by four fifths. The coordinators now handle exceptions and supplier calls.
Handwritten amendments on scanned orders still need manual entry; they are about 6% of volume and are routed straight to a person.
| Period | Value |
|---|---|
| Jan | 48 |
| Feb | 46 |
| Mar | 44 |
| Apr | 9 |
| May | 4 |
| Jun | 3 |
Case studySample case study
Kestrelway Appliances · Online retail, United Kingdom
Twelve support agents searched four document stores and old tickets to answer warranty and delivery questions. Answers differed between agents and shifts.
An agent sends every reply. The assistant suggests; it does not send, refund or change an order.
Median first-response time fell from 7.2 hours to 1.9 hours, and repeat contacts on the same issue fell by a third.
Suggestions for discontinued products were unreliable until those documents were tagged with end-of-sale dates.
| Period | Value |
|---|---|
| May | 7.4 |
| Jun | 7.2 |
| Jul | 7 |
| Aug | 3.6 |
| Sep | 2.3 |
| Oct | 1.9 |
Case studySample case study
Quillhaven Legal Services · Legal services, Canada
Opening a new client matter touched the CRM, conflict-check database, document system, billing and e-signature. Each step was started by email, and matters stalled between teams.
A partner approves the conflict summary and the engagement letter. Nothing is sent to a client or written to billing before that approval is recorded.
Median onboarding time fell from 9 working days to 2. Stalled matters, previously found by chasing email, are visible the same day.
The conflict database has no write API, so the result is recorded by a person; the orchestration waits for that confirmation.
| Period | Value |
|---|---|
| Oct | 9.5 |
| Nov | 9 |
| Dec | 8.5 |
| Jan | 4 |
| Feb | 2.5 |
| Mar | 2 |
Agentic AI DevelopmentSample
68%
Tracking questions resolved by the agent, was 0%
Freight forwarding · Norway
AI Marketing AutomationSample
3 days
Brief to approved piece, was 6.5 days
Managed IT services · Australia
Sales & CRM PlatformSample
35 min
Enquiry to first contact, was 26 h
Solar installation · Ireland
In five phases: AI assessment, scoped pilot, evaluation and decision, production implementation (which ends with launch and handover) and managed support. You can stop after any phase, and nothing reaches production until the agreed acceptance checks are met.
USD 500
5 working days
One process reviewed for fit, dependencies and risk.
from USD 2,500
3 to 4 weeks
One bounded use case built and tested on real cases.
from USD 6,000
6 to 10 weeks
The accepted pilot hardened, connected and launched.
from USD 600 per month
Monthly, cancel with notice
Monitoring, changes and incidents under agreed targets.
Sample pricesPrices exclude third-party licences, model usage and taxes. The proposal sets the final price for your scope. Invoices are issued in USD; GBP, EUR and AUD are available on request.
Projects by service group, clients by region and the monthly effect on client workload.
| Item | Value |
|---|---|
| United Kingdom | 31 |
| European Union | 23 |
| North America | 19 |
| Australia and New Zealand | 12 |
| Gulf states | 8 |
| Bangladesh | 7 |
| Period | Value |
|---|---|
| Apr | 2,140 |
| May | 2,380 |
| Jun | 2,510 |
| Jul | 2,790 |
| Aug | 2,960 |
| Sep | 3,150 |
You get an established technical workforce, English-language delivery and a working day that overlaps the European morning and the Australian afternoon. The time-zone chart in this section shows REIT Limited's office hours on your local clock.
| City | REIT Limited office hours in local time |
|---|---|
| Dhaka | 09:00 to 18:00; overlap with a 09:00 to 17:00 day: 09:00 to 17:00 (8 h) |
| London | 03:00 to 12:00; overlap with a 09:00 to 17:00 day: 09:00 to 12:00 (3 h) |
| Berlin | 04:00 to 13:00; overlap with a 09:00 to 17:00 day: 09:00 to 13:00 (4 h) |
| Dubai | 07:00 to 16:00; overlap with a 09:00 to 17:00 day: 09:00 to 16:00 (7 h) |
| New York | 22:00 to 07:00; overlap with a 09:00 to 17:00 day: none in office hours |
| Sydney | 13:00 to 22:00; overlap with a 09:00 to 17:00 day: 13:00 to 17:00 (4 h) |
Calculated from UTC offsets in standard time. In local summer time the blue bar starts one hour later in London, Berlin, New York and Sydney.
Sample office hoursREIT Limited is registered in Bangladesh (RJSC No. C-169247/2021; Trade Licence TTRAD/DNCC/022090/2022; BIN 004353945-0101) with an office in Dhaka. Registration numbers can be checked with the issuing authorities. Workflows on this site that are not client work are labelled as illustrative examples.
A first project delivers one tested workflow, agent or platform module with its logs, approval points and an operating guide. Steps that are uncertain, costly or customer-facing remain with a person, who approves what the system has prepared. The proposal lists both: what is automated and what stays manual.
Accounts, credentials and data stay with the client throughout. Ownership and licence terms for custom workflows, prompts and code are set out in the proposal, together with any third-party licence limits and how to export the work. Buyers should confirm these terms before a pilot starts.
It depends on what each system exposes. Feasibility turns on available APIs, access permissions, data quality and vendor restrictions, which are checked in the assessment before any commitment to scope. Not every application has a supported connection.
Either your team, using the operating guide and handover, or REIT Limited under a support arrangement that defines monitoring, changes and incident handling. The choice is made in the proposal and can change later.
Describe one process, the systems it touches and the result you need. We reply to qualified enquiries within 1 business day.