AI Automation & Agents
Process mapping, approved inputs and tools, observable outputs and safe exceptions. Choose a workflow or bounded agent according to the task, then define evaluation and an operating guide.
AI services · Bangladesh to the worldLess busywork.
Less busywork.
More possibility.
AI workflows, intelligent agents and connected business platforms. Built around the way your people work—with the technical support to keep things moving.
Start with one process. Define the value, test the limits and build from evidence.
Human control by designTransparent scope & ownershipSupport beyond the first build
Start with the work
Where is your team losing time?
Choose the business need first. Then find the right combination of automation, integration and human control.
What we do
From one workflow to a connected operation.
Four complementary service groups help you plan, build and support the right system for the work.
AI Orchestration & Integrations
Connect routing, shared state, data contracts, permissions and approvals. Add execution monitoring, recovery, version control and cost visibility across the systems involved.
AI Marketing
Connect brand knowledge, campaign inputs and content preparation to reviewed publishing and lead routing. Keep data quality, permissions and measurement definitions explicit.
IT Technical Support
Resolve agreed technical issues and manage controlled access, configuration and integration changes. Define supported systems, coverage, escalation and maintenance responsibility.
The possibilities, made tangibleSee what better work
Download the synthetic datasetSee what better work
could look like.
Fictional cases with transparent numbers. Switch scenarios to explore a different starting point.
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 included0160 hours
92 hmodelled capacity change / month
57.5% less human effort under these assumptions. This is not cash savings.
Workload mix
- Complete fields70%
- Missing context20%
- Duplicate candidates10%
Assumed distribution, not measured activity.
Inspect the data, calculation and pilot decision
| Input or calculated measure | Illustrative value |
|---|---|
| Monthly in-scope volume | 1,200 enquiries |
| Before: human minutes per item | 8 |
| Proposed: human minutes per item | 3 |
| Additional operating hours per month | 8 |
| Baseline human hours per month | 160 |
| Proposed human hours per month | 68 |
| Net capacity change per month | 92 hours |
| Illustrative pilot window | 4 weeks; not a delivery commitment |
| Assumed mix: Complete fields | 840 items |
| Assumed mix: Missing context | 240 items |
| Assumed mix: Duplicate candidates | 120 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.
Fictional case study · Meridian Help StudioSynthetic data · not a REIT Limited client result
support requests / illustrative scenario
Support answers with a source behind them
A fictional software-support team works from approved product articles. Reviewers search several documents before preparing each answer. Unsupported questions need a clear escalation path.
- Proposed workflow
- Read the request · Retrieve approved sources · Prepare a cited draft · Review and respond
- Human control
- A support reviewer checks the sources and approves the final answer.
Human effort per month
Hours · review included0180 hours
69 hmodelled capacity change / month
38.3% less human effort under these assumptions. This is not cash savings.
Workload mix
- Known topics60%
- Context-dependent30%
- Escalation cases10%
Assumed distribution, not measured activity.
Inspect the data, calculation and pilot decision
| Input or calculated measure | Illustrative value |
|---|---|
| Monthly in-scope volume | 900 support requests |
| Before: human minutes per item | 12 |
| Proposed: human minutes per item | 7 |
| Additional operating hours per month | 6 |
| Baseline human hours per month | 180 |
| Proposed human hours per month | 111 |
| Net capacity change per month | 69 hours |
| Illustrative pilot window | 5 weeks; not a delivery commitment |
| Assumed mix: Known topics | 540 items |
| Assumed mix: Context-dependent | 270 items |
| Assumed mix: Escalation cases | 90 items |
Calculation: 900 × 12 ÷ 60 = 180 baseline hours. Proposed: 900 × 7 ÷ 60 + 6 operating hours = 111 hours.
Pilot decision: Do sources support the answer, and are correction effort and reopened requests included?
Limit: Faster drafts are not a benefit if answer quality deteriorates. No autonomous customer reply is assumed.
Fictional worked example. Future human handling includes review, exceptions and corrections; operating hours are additional. Compare the same workload before drawing a conclusion.
Fictional case study · Brightfield Campaign TeamSynthetic data · not a REIT Limited client result
content assets / illustrative scenario
A clear path from campaign brief to approval
A fictional technical-services marketing team prepares 48 assets in a representative month. Drafting is fast, but facts, source material, editorial comments and channel versions become scattered.
- Proposed workflow
- Load the approved brief · Prepare channel drafts · Review facts and voice · Approve publication
- Human control
- An editor retains factual review and publication authority.
Human effort per month
Hours · review included072 hours
24 hmodelled capacity change / month
33.3% less human effort under these assumptions. This is not cash savings.
Workload mix
- Core articles62.5%
- Channel adaptations25%
- Complex revisions12.5%
Assumed distribution, not measured activity.
Inspect the data, calculation and pilot decision
| Input or calculated measure | Illustrative value |
|---|---|
| Monthly in-scope volume | 48 content assets |
| Before: human minutes per item | 90 |
| Proposed: human minutes per item | 55 |
| Additional operating hours per month | 4 |
| Baseline human hours per month | 72 |
| Proposed human hours per month | 48 |
| Net capacity change per month | 24 hours |
| Illustrative pilot window | 4 weeks; not a delivery commitment |
| Assumed mix: Core articles | 30 items |
| Assumed mix: Channel adaptations | 12 items |
| Assumed mix: Complex revisions | 6 items |
Calculation: 48 × 90 ÷ 60 = 72 baseline hours. Proposed: 48 × 55 ÷ 60 + 4 operating hours = 48 hours.
Pilot decision: Does an accepted asset require less total effort at the same editorial standard?
Limit: These figures describe content operations. They do not imply more traffic, rankings, leads or revenue.
Fictional worked example. Future human handling includes review, exceptions and corrections; operating hours are additional. Compare the same workload before drawing a conclusion.
Business platforms
Explore Business PlatformsGive your people a useful place to work.
Bring interfaces, data and approved workflows together around a specific operating need. These are configurable delivery offers, scoped to your business.
Customer Support Platform
Bring knowledge, conversations and service requests together.
Sales & CRM Platform
Give every enquiry a clear path through your CRM.
Marketing Operations Platform
One shared process from campaign brief to approved output.
Document & Knowledge Platform
Make approved knowledge easier to find—and check.
A process you can inspect
From an enquiry to an approved next step.
- 01Receive enquiry
- 02Classify and draft
- 03Human approval
- 04Update the CRM
Illustrative example: an incoming enquiry is checked, a response is prepared, a person approves it and the result is recorded. Exceptions return to a review queue. This is a proposed workflow, not a measured client result.
How we work
A clear route from idea to operation.
Assess
Understand one process and its constraints.
Pilot
Test a bounded scope on representative cases.
Evaluate
Compare results with written acceptance checks.
Launch
Release with access, ownership and recovery agreed.
Support
Maintain the systems and changes in scope.
Put your own assumptions to workWhat is the workflow
What is the workflow
worth improving?
Estimate human capacity first. Then check whether any real cash cost would change. All inputs stay in your browser.
Try a different scenario.
Scenario assumptions · USD · not a quotation or forecast.
Modelled monthly capacity
human hours released / month
- Baseline human effort
- 160.0 h
- Proposed effort + operation
- 68.0 h
- Time value — not cash savings
- USD 1,840
- Net monthly cash benefit
- −USD 600
- Simple cash payback
- No cash payback
The model releases capacity, but does not show a positive cash benefit under these inputs.
Future handling time must include review, exceptions and rework. Recurring costs exclude labour already counted. No revenue uplift is assumed.
How it works: baseline hours = tasks × before minutes ÷ 60. Future hours = uncovered tasks × before minutes ÷ 60 + covered tasks × future minutes ÷ 60 + extra operating hours. Cash benefit = confirmed cash avoided − recurring costs. Payback uses positive cash benefit only and excludes ramp-up, tax and financing effects. Capacity value and cash benefit are never added together.
Designed for real operating needs
Your systems. Working together.
A useful AI solution connects the people, knowledge and applications already central to your business. We assess the workflow, define the interfaces and make the handoff visible.
Explore our delivery approach
Before you commit
Read the AI Project Buyer GuideAsk the questions that shape a better project.
Can we start with one workflow?
Yes. Begin with a bounded process, baseline data and a person who owns the result. The assessment should establish whether an existing feature, a workflow or an agent is the right first step.
Are the case-study results real?
The named scenarios on this website are fictional worked examples using synthetic inputs. Their calculations are visible so you can understand the method and replace the assumptions with your own evidence.
What does the value calculator measure?
It models human effort, capacity and cash assumptions separately. Time released is not automatically cash saved, and no revenue increase is assumed.
What happens after launch?
Agree support coverage, monitoring, release ownership, recurring costs and recovery arrangements. Implementation and continuing operation have separate scope decisions.
Start with one useful change
Book an AI AssessmentWhat 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.