Backend services, document processing, validation and failure handling for Monitorscape.
Read the Monitorscape case studySoftware engineer based in Malaysia, working with suitable clients internationally.
Explore my portfolioApplied AI workflows
Extract information, classify documents and prepare summaries inside a workflow that checks outputs and keeps your team in control.
One defined task. Clear inputs, review steps and ownership. View pricing
Evidence behind the approach
AI features depend on the systems around them. Monitorscape documents AI-assisted analysis; Pastelocity demonstrates the integration work behind connected business operations.
Monitorscape
AI-assisted classification · Summarisation · Data pipelines
Classification and summarisation downstream of document processing, validation and transformation, with traceable source material for analysts to review.
Read the case study
Pastelocity
Application integration · Backend services · Business workflows
Customer, order, payment, receipt and administrative workflows brought into a connected business system. This case demonstrates the application integration side of the work.
Read the case studyOur process
See the weeks, the review points and what each stage produces. Orange and navy show Axelyn’s work; grey shows your part.
Illustrative planning schedules for one bounded task. Data readiness, task feasibility, application access and review availability determine the scope and delivery dates agreed in the proposal. Prototype results guide the next step; they do not guarantee suitability for production.
One AI-assisted task, representative samples and a reviewed feasibility decision
Scroll across the schedule, then select a stage to see its deliverables.
| Workstream | Week 1 | Week 2 |
|---|---|---|
| Your partTask context, permitted samples and review | ||
| Scope & evidenceInputs, outputs and evaluation criteria | ||
| PrototypeModel connection and output checks | ||
| Evaluate & hand overEvidence, limits and next steps | ||
Your part · Week 1
Describe the current task, supply authorised representative samples and identify the person who can judge a useful result.
Your part · Week 2
Review useful outputs, errors and uncertain cases before deciding whether integration is justified.
Scope & evidence · Week 1
Define one task, one input format, the expected output structure and the examples used to assess the result. Identify which decisions remain with a person.
Prototype · Weeks 1–2
Build a reviewable prototype using one model provider, with constrained outputs, basic validation and visible failure states.
Evaluate & hand over · Week 2
Evaluate representative samples against agreed criteria, recording mistakes, uncertain cases and observed usage. Sample results do not establish universal accuracy.
Evaluate & hand over · Week 2
Hand over prototype source, setup instructions and findings. Production integration and operational support require their own scope.
One feasible AI-assisted task connected to an existing application, with review and failure handling
Scroll across the schedule, then select a stage to see its deliverables.
| Workstream | Week 1 | Week 2 | Week 3 | Week 4 |
|---|---|---|---|---|
| Your partAccess, evaluation review and acceptance | ||||
| Review & planFeasibility, data and system boundary | ||||
| ImplementationProcessing, connection and human review | ||||
| Verify & hand overRelease checks and operating guidance | ||||
Your part · Week 1
Confirm the task, permitted data, existing application and authorised access. Name the output reviewer and operational owner.
Your part · Week 2
Review representative outputs and error cases. Confirm whether the task is suitable before extending it into the application.
Your part · Week 4
Review the end-to-end workflow, remaining limitations and operational handover against the agreed acceptance criteria.
Review & plan · Week 1
Review task feasibility and define one input source, one model provider and one application connection. Agree data handling, review steps and usage limits.
Review & plan · Weeks 1–2
Use representative samples to check the approach, record errors and agree acceptance criteria before release. If the task is unsuitable, review the findings and revise the plan with the client.
Implementation · Weeks 2–3
Connect the bounded task to the agreed application, validating outputs and keeping consequential actions behind explicit human approval.
Implementation · Week 3
Add visible failure handling, bounded retry behaviour and usage records. Define request or token limits appropriate to the integration.
Verify & hand over · Week 4
Check the agreed samples and failure paths in an approved environment, including invalid outputs, provider errors and the approval boundary.
Verify & hand over · Week 4
Hand over source, configuration, evaluation samples and run instructions. Record who owns model changes, usage bills and ongoing checks.
What the work covers
Useful for teams repeatedly reading documents, sorting incoming information or preparing summaries. Agree one task and a way to judge its outputs before implementation begins.
Pricing
Two defined ways to start. Explore feasibility first, or integrate a task whose inputs, review process and acceptance criteria can be agreed.
Approximate conversions, rounded to whole units. Frankfurter exchange rates dated . Final fees and billing currency are confirmed in your quotation.
Evaluate one focused AI task
A working experimental prototype to assess whether AI is useful for a specific document or information-processing task.
FromRM3,500/ project
Base price: RM3,500
Example planning schedule: 2 weeks
Discuss a workflow prototypeThe prototype is for evaluation. Production deployment, application integration, custom model training and extensive data preparation are outside this starting scope. A useful prototype is not a production-readiness claim.
Bring one task into an existing system
Implement a feasible AI-assisted task inside an existing application, with defined checks, a human review path and operational ownership.
FromRM7,500/ project
Base price: RM7,500
Example planning schedule: 4 weeks
Discuss workflow integrationThe existing application must support the agreed connection. A new application or review dashboard, extensive document preparation, large knowledge bases, model training and additional integrations need separate scope. Feasibility is reviewed before release.
Indicative starting prices apply to eligible, narrowly defined engagements. A proposal confirms data access, sample volume, integration readiness, acceptance criteria, final fees and delivery dates. Model/API usage, hosting, storage, subscriptions and ongoing maintenance are separate costs. A prototype is a separate engagement; any reuse and remaining integration work are agreed in a subsequent proposal. Final billing currency is agreed in the quotation.
Before the workflow is handed over
The agreed checks cover model outputs, application behaviour and the people responsible for acting on the result.
Before we start
Work directly with Amin, the engineer behind Axelyn, to decide where AI is useful and how the surrounding system should behave.
A repeatable task with accessible source material and an output someone can review: extracting agreed fields from documents, classifying incoming information or preparing source-linked summaries. We start with one task, representative samples and explicit success criteria. If deterministic code or an existing tool fits better, that informs the recommendation.
The prototype tests one task and records whether the approach is useful on representative samples. It is an experimental implementation, with source and findings, rather than a production release. Workflow integration connects a feasible task to an existing application and adds the agreed review path, failure handling, usage records and release checks. A new application or custom review dashboard is scoped separately.
A workflow prototype starts from RM3,500 per project and workflow integration from RM7,500 per project. The planning examples show two and four weeks respectively. These are indicative starting prices for one bounded task, with final fees and dates agreed after reviewing data, feasibility and integration readiness. A prototype and integration are separate engagements; any reuse is agreed in the follow-on proposal. MYR is the base price; other displayed currencies are approximate conversions, with billing currency agreed in the quotation.
Models can produce plausible but incorrect results. Structured validation and evaluation catch some errors, but cannot prove that every output is correct. We agree which results require review and keep consequential actions behind explicit human approval. The scope defines permitted inputs, outputs and operations, with failure and manual-completion paths appropriate to the task.
For an initial enquiry, share the task and names of the tools involved. Leave out credentials, confidential documents and personal records. Before working with samples, we agree permission to use the data, any redaction, the model provider and its data-handling settings, storage, retention and access responsibilities. The starting offers do not include self-hosted model infrastructure or a compliance certification.
Model/API usage, hosting, storage and third-party subscriptions are separate from the engineering fee. We agree the provider, account owner and appropriate request or token limits during scoping. Integrated workflows include usage records and configured limits; estimates are not invoices or a guarantee of a fixed monthly usage bill.
You can operate the workflow yourself or discuss optional Application Maintenance from RM500 per month for a stable application and one environment, within an agreed allocation. Hosting and model/API usage remain separate. New prompts, model migrations, expanded tasks and evaluation refreshes need explicit scope; scheduled maintenance does not include continuous human monitoring or on-call incident response. Support responsibilities are recorded in a separate agreement.
