AI Workflow AutomationSample
3 h
Email to ERP entry, was 46 h
Order-document intake cut from two days to three hours
Wholesale distribution · United Kingdom
Services
REIT Limited, a Bangladesh-based AI services and technical-delivery company, organises its delivery work into four groups. Each service below states the problem it addresses, what you provide, what you receive, what is excluded and how the result is accepted.
In brief
REIT Limited's services cover four kinds of work: automating a defined process, building a bounded AI agent, coordinating several components as one process, and supporting the technology afterwards. Every engagement starts with an assessment of one process and ends with an operating guide.
Build repeatable task automation and bounded AI assistants for defined business outcomes. The work maps the task, connects approved inputs and tools, and defines an observable output, with evaluation, human approval where needed, exception handling and an operating guide.
| Service | Problem it addresses | You provide | You receive | Not included | Accepted when |
|---|---|---|---|---|---|
| AI Workflow Automation | Repeated steps done by hand | A process description, system access, approval rules | A tested workflow with logs, approvals and recovery steps | Third-party licence charges; undefined processes | Agreed test cases pass |
| Agentic AI Development | Tasks whose steps vary case by case | The task boundary, permitted tools, knowledge sources | An evaluated agent with action limits and human handoff | Open-ended assistants; actions off the allow-list | Evaluation cases meet the agreed standard |
Coordinate agents, models, workflows and connected systems as one managed business process. The design covers shared routing, state, data contracts, permissions and approvals, and adds execution monitoring, recovery, version control and cost visibility.
| Service | Problem it addresses | You provide | You receive | Not included | Accepted when |
|---|---|---|---|---|---|
| AI & Digital Orchestration | Automations that do not add up to a process | The end-to-end process, system owners, API access | A managed process with shared state and one view of execution | Systems with no connection method | The process completes and recovers as designed |
Apply AI and automation to marketing preparation, execution and measurement. Approved brand knowledge, campaign inputs and marketing-system events are connected, while publishing approval, data quality and measurement definitions stay explicit.
| Service | Problem it addresses | You provide | You receive | Not included | Accepted when |
|---|---|---|---|---|---|
| AI Marketing Automation | Ad hoc AI use and unreviewed content | Brand guidelines, channels, tool access, an approver | A governed content and campaign workflow with approval records | Unapproved publishing; promises of ranking | Each published item has a recorded approval |
Support business technology and maintain the AI systems connected to it. Technical issues are resolved and approved changes managed, with supported systems, coverage, response targets, escalation and maintenance responsibility defined in the proposal.
| Service | Problem it addresses | You provide | You receive | Not included | Accepted when |
|---|---|---|---|---|---|
| IT Technical Support | Everyday faults with devices, accounts and applications | The systems in scope and who approves changes | Remote support, access administration, backup checks, escalation | Hardware repair; systems outside scope | Issues are resolved or escalated as agreed |
| AI System Assurance & Support | AI systems that drift after launch | Access to logs, prompts and permissions; a release approver | Evaluation, monitoring, controlled releases and rollback | Accuracy guarantees; systems that cannot be inspected | Checks pass before each release |
A workflow follows fixed steps from a known trigger. An agent chooses among permitted tools inside a bounded task. Orchestration coordinates several of these as one process. A business platform is the interface a team uses on top of them.
| Concept | Meaning for the buyer | Typical output |
|---|---|---|
| Workflow automation | A known trigger starts a defined sequence of steps. | A tested process with routing, approvals and recovery. |
| Agentic AI | An AI agent chooses from permitted tools within a bounded task. | An evaluated assistant with action limits and human handoff. |
| AI orchestration | Multiple agents, models, applications and workflows are coordinated together. | A managed process with shared state and execution visibility. |
| Business platform | A usable interface brings data, workflows and AI capabilities together. | A configurable application or portal with agreed features and support. |
Each service connects to a platform example: see Business Platforms for support, sales, marketing and document knowledge builds.
Each service has its own list of supported systems and connections, shown in this section and on the service's page, and works with them where they provide an interface. A connection enters scope only after its access, permissions and vendor limits are checked in the assessment.
| Service | Supported systems and connections |
|---|---|
| AI Workflow Automation | CRM, Helpdesk, Email and shared mailboxes, Spreadsheets, Databases, ERP, Document stores, Internal applications with an API, n8n, Make, Zapier |
| Agentic AI Development | Sales operations, Customer support, Research and summarising, Reporting, Internal operations, Knowledge bases, CRM and helpdesk APIs |
| AI & Digital Orchestration | CRM, Helpdesk, ERP, Email, Knowledge bases, Document stores, E-signature, Billing systems, Messaging tools, Internal applications |
| AI Marketing Automation | HubSpot and other CRMs, Email platforms, LinkedIn and social scheduling, Website content system, Analytics exports, Bangla and English drafts |
| IT Technical Support | Windows and macOS devices, Microsoft 365, Google Workspace, Business websites, Cloud hosting, Line-of-business applications, Backup platforms, Automation tools |
| AI System Assurance & Support | Workflows built by REIT Limited, Agents built by REIT Limited, Inherited AI systems that can be inspected, Model provider usage data, Helpdesk and alerting tools |
One case study per service. Each links to the full account, with its measures, tools and limits.
AI Workflow AutomationSample
3 h
Email to ERP entry, was 46 h
Wholesale distribution · United Kingdom
Agentic AI DevelopmentSample
68%
Tracking questions resolved by the agent, was 0%
Freight forwarding · Norway
AI & Digital OrchestrationSample
2 days
Median onboarding time, was 9 days
Legal services · Canada
AI Marketing AutomationSample
3 days
Brief to approved piece, was 6.5 days
Managed IT services · Australia
IT Technical SupportSample
14 min
Median first response, was no target
Architecture practice · United Kingdom
AI System Assurance & SupportSample
95%
Answer accuracy on the evaluation set, was 81%
Insurance broking · United States
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
25%
of respondents have moved 40% or more of their AI pilots into production.
Deloitte, 21 January 2026Survey of 3,235 leaders in 24 countries, August to September 2025
Start with the simplest option that does the job. A feature in software you already own may be enough.
| Question | Workflow automation | AI agent | Orchestration |
|---|---|---|---|
| Are the steps known in advance? | Yes | Not required | May include both |
| Does it choose among tools? | No, the path is fixed | Yes, within a written allow-list | It coordinates those choices |
| Where does a person stop it? | Where the action is costly | Where confidence is low or the action is external | At the gates you define |
| Typical output | A tested process with recovery | An evaluated assistant with limits | A managed process with visibility |
| First step | Assessment of one process | Assessment of one bounded task | Assessment of the handoffs |
Build work connects to what happens afterwards. Launch support covers the first weeks of live running; maintenance and monitoring are provided through AI System Assurance & Support and IT Technical Support. Each service page gives one next action: an assessment of the process in question.
Use a workflow when the steps are known and repeat. Use an integration when the need is simply to move data reliably between two systems. Use an AI agent when the task requires choosing among permitted tools case by case. If a configured feature in your existing software solves the problem, that is usually the right first move.
No. Each service is scoped separately and a first engagement usually covers one process. Services connect naturally: a workflow may later need orchestration, and a launched system may need support. Each addition is proposed and priced on its own.
Describe the process and we will say which approach suits it, or whether a simpler change would do.