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Work · Capability Records

Capability, demonstrated — not decorated.

Working systems from our own ecosystem, each documented the same honest way: context through lessons learned. Client case studies publish here only with verified data and permission.

Discuss Your EngagementFilter Systems
  Documentation Standard
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01 Context & ConstraintsLegacy systems, business pain, hard limits
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02 Strategy & ArchitectureThin slices, modular services, data flow
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03 Verified OutcomesNumbers published only on client authorization
Industry
Capability
Platform
Technology
Themes

Product · AI-Powered Business OS · Business Operations

BolkarBIZ

Business OS Web, AI Open BolkarBIZ →

BolkarBIZ — illustrative visual, not a client screenshot
01 · Client / Project
BolkarBIZ — an IA Webtech product.
02 · Industry
Business Operations
03 · Business Context
AI-powered business operating system in the IA Webtech ecosystem — connecting operations, workflows and intelligence into one platform.
04 · Challenge
Fragmented tools and disconnected business processes prevent operations from scaling smoothly.
05 · Existing Environment
Siloed operations software, scattered data, manual coordination between departments.
06 · Constraints
Operational continuity is critical; intelligence must assist rather than disrupt daily workflows.
07 · Strategy
Unified platform core with modular business operating capabilities and supervised AI operators.
08 · UX / Product Thinking
Modern web and mobile console with contextual AI tools and clear task visibility.
10 · Engineering
Modular business OS platform designed for high-throughput operational intelligence.
11 · AI / Automation
Integrated AI operators for process acceleration with human-in-the-loop validation.
12 · Security
Enterprise-grade data encryption, granular access control, full audit logging.
13 · Deployment
Progressive deployment with data migration and automated health checks.
09 · Architecture
C
ConnectBusiness workflows · data
O
OperateOrders · tasks · inventory
A
AutomateAI operators · triggers
D
DecideLive operational metrics
14 · Outcome
Outcome record publishes on verification — no placeholders, no “1+” counters, ever.
15 · Lessons Learned
A modern business operating system proves value by removing coordination overhead.
16 · Technology Stack
Web · AI · Business OS

Product · AI-based ERP · Business Operations

IA BizSoft

ERP & Operations Web Open IA BizSoft →

IA BizSoft — illustrative visual, not a client screenshot
01 · Client / Project
IA BizSoft — an IA Webtech product.
02 · Industry
Business Operations
03 · Business Context
AI-based ERP for running sales, inventory, finance and operations in one system — designed, built and operated by IA Webtech.
04 · Challenge
Growing businesses run sales, stock and accounts in disconnected tools and spreadsheets, so nobody trusts the numbers.
05 · Existing Environment
Typical SMB landscape: standalone billing, spreadsheet stock, chat-based coordination, manual reports.
06 · Constraints
Billing cannot stop for a day; staff need simple flows; opening data must migrate without loss.
07 · Strategy
One operational core first — sales to stock to billing — then finance, then AI assistance on top of trusted data.
08 · UX / Product Thinking
Role-based consoles for counter, store and accounts; minimal clicks per task; readable on low-end hardware.
10 · Engineering
Modular web platform across sales, inventory and finance domains; staged rollout per branch with parallel runs.
11 · AI / Automation
Reporting summaries, stock exception flagging and approval nudges — always with human sign-off.
12 · Security
Role-based access, audit trails on stock and money movement, encrypted transport, regular backups.
13 · Deployment
Branch-by-branch rollout with staff training and parallel billing runs before cutover.
09 · Architecture
S
SellOrders · invoices
S
StockInventory truth
M
MoneyBilling · accounts
D
DecideReports · AI summaries
14 · Outcome
Outcome record publishes on verification — no placeholders, no “1+” counters, ever.
15 · Lessons Learned
Operates live as the proving ground for the AI operators we deploy for client engagements.
16 · Technology Stack
Web · ERP · AI

Product · School Management · Education

eSchool

Education SaaS Web, SaaS Open eSchool →

eSchool — illustrative visual, not a client screenshot
01 · Client / Project
eSchool — an IA Webtech product.
02 · Industry
Education
03 · Business Context
Admissions, attendance, fees, exams and parent communication for schools and colleges — multi-branch ready, run by IA Webtech.
04 · Challenge
Admissions, fees and results run on paper and spreadsheets while parents hear everything late.
05 · Existing Environment
Paper forms, fee registers, result sheets, patchy messaging to parents.
06 · Constraints
The academic calendar never pauses; fee data must be exact; parent trust is everything.
07 · Strategy
Admissions plus fees first — where money trust lives — then academics, then communication.
08 · UX / Product Thinking
Simple flows for office staff; clear fee and progress views for parents.
10 · Engineering
Multi-branch-ready SaaS with roles for admins, teachers and accountants; term-break onboarding.
11 · AI / Automation
Admission document checks and performance summaries for staff review.
12 · Security
Child-data protection, staff roles, consent-based parent communication, backups.
13 · Deployment
Term-break onboarding with data migration and staff training.
09 · Architecture
A
AdmitForms · documents
R
RunAttendance · fees
A
AssessExams · results
E
EngageParents · messages
14 · Outcome
Outcome record publishes on verification — no placeholders, no “1+” counters, ever.
15 · Lessons Learned
School operations reward boring reliability: fee accuracy before fancy features.
16 · Technology Stack
Web · SaaS · Cloud

Solution · Laundry Operations · Retail & Services

Laundry Management

Operations Software Web, Mobile Laundry solution →

Laundry Management — illustrative visual, not a client screenshot
01 · Client / Project
Laundry Management — an IA Webtech solution.
02 · Industry
Retail & Services
03 · Business Context
Multi-branch laundry and dry-cleaning operations: counter POS, order tracking, processing stages, delivery and billing.
04 · Challenge
Intake, tagging, processing, delivery and billing tracked manually across branches — garments and money leak.
05 · Existing Environment
Counter books, phone orders, rider coordination by calls.
06 · Constraints
Same-day promises; no garment may be lost; riders need dead-simple tools.
07 · Strategy
Counter POS first, then tagging and tracking, then rider and customer updates.
08 · UX / Product Thinking
Fast counter billing; a dead-simple rider app; customer order visibility.
10 · Engineering
Branch-ready operations platform with order tracking and customer records.
11 · AI / Automation
Demand summaries and delay alerts for staff review.
12 · Security
Staff roles, customer data care, daily backups.
13 · Deployment
Branch-by-branch rollout with counter training.
09 · Architecture
I
IntakeCounter POS · orders
T
TrackTagging · stages
M
MoveRiders · delivery
M
MoneyBilling · customers
14 · Outcome
Outcome record publishes on verification — no placeholders, no “1+” counters, ever.
15 · Lessons Learned
Track one garment end-to-end before scaling branches.
16 · Technology Stack
Web · Mobile · Operations

Proof framework

Verified metrics — categories ready, numbers honest.

We track eight metric categories. A number appears here only with a verified source and client permission. Until then, the category stays visible and the value stays blank.

  • Time saved — on verification
  • Processing time — on verification
  • Manual work reduced — on verification
  • Users supported — on verification
  • Transactions processed — on verification
  • Cost reduction — on verification
  • Response time — on verification
  • System availability — on verification
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