# Appropriate Technology Consulting

> We advise on technology selection, architecture and delivery for organisations that need systems to work in the real world — under real budgets, real infrastructure and real operational constraints. Sometimes the right answer is a new platform. Sometimes it is improving the system already in place.

Technology should fit the organisation — not force the organisation to fit the technology.

## Appropriate over excessive

The best technology is not necessarily the newest or most sophisticated. It is the technology that fits the context and creates meaningful outcomes.

1. Problem: What actually hurts, and for whom.
2. Context: The people, existing systems and way the organisation really works.
3. Constraints: Cost, infrastructure, capability, maintainability, security.
4. Technology: Only now: what to build, buy, integrate or leave alone.
5. Outcome: A measurable change in how the work gets done.

## Capabilities

### Enterprise Applications & Automation

Making the systems an organisation already runs on work better — and connecting them to the ones it needs next.

- CRM and enterprise application architecture
- Workflow platforms and process digitisation
- Collaboration and document systems
- Operational spreadsheets and business tooling
- System integration and APIs
- Legacy-to-modern transformation

### AI & Intelligent Automation

Applying AI where it measurably reduces effort or error — and saying so plainly when it does not.

- Generative AI in operational workflows
- AI agents and assisted processes
- Retrieval and internal knowledge systems
- Human-in-the-loop design
- AI governance and evaluation

### Technology & Solution Architecture

The structural decisions that are expensive to reverse later: boundaries, data, integration, security.

- Enterprise and solution architecture
- Cloud and integration architecture
- Data architecture and modelling
- API and system design
- Security-by-design

### Sustainability Technology

Sustainability reporting is a data and evidence problem before it is a disclosure problem.

- ESG information systems
- Sustainability and carbon data pipelines
- Evidence management and auditability
- Traceability across supply chains
- Reporting architecture

Related product: AeternumAlly

### Field, IoT & Edge Systems

Systems that have to keep working when the network does not.

- Sensors, telemetry and environmental monitoring
- Edge computing and embedded systems
- Offline-first architectures
- Remote site and field data infrastructure
- Power-constrained and off-grid deployments

Related product: FieldLab

### Digital Product Advisory

From a problem worth solving to something real enough to test with users.

- Discovery and problem framing
- Product and platform architecture
- Prototypes and MVPs
- Implementation strategy
- Scaling architecture

## Typical engagements

Examples of how the work usually starts. Each one is scoped to the problem in front of us rather than sold as a package.

### Technology Architecture Review

Review the current technology landscape, constraints, architecture risks and modernisation options.

### Application Modernisation Assessment

Work out what should be kept, integrated, improved, replaced or retired across existing business systems.

### AI Opportunity & Readiness Assessment

Identify workflows where AI creates measurable value — including data readiness, governance, human oversight and the practical constraints on implementation.

### Sustainability Technology Architecture

Design the data, evidence, workflow and system architecture that sustainability operations and reporting depend on.

### Field System Architecture

Design sensing, IoT, edge, connectivity and offline-first systems for remote or constrained environments.

### Digital Product Discovery & Architecture

Turn a business idea or an operational problem into a workable product concept, prototype, MVP architecture and implementation roadmap.

## From spreadsheets to AI — without throwing away what already works.

Organisations do not start from zero. We modernise systems pragmatically — retaining what works, replacing what creates friction, and integrating new capabilities where they create measurable value.

1. Excel / Sheets — Where the process starts, in VBA or Apps Script
2. Workflow — When it needs approvals
3. Enterprise Platforms — When it becomes the system of record
4. Cloud / APIs — When it needs to connect
5. AI & Automation — When the volume outgrows the people

Every stage on this line is still running in production somewhere, in an organisation that depends on it. That is the point.

## Technology experience across generations

### Enterprise Applications

Large systems of record and the processes around them.

- Salesforce — Enterprise CRM
- CRM & sales operations — Customer and pipeline data
- Systems of record — Master data and core records

### Workflow & Process

Turning informal procedures into systems people actually follow.

- K2 — Workflow automation
- Power Platform — Low-code workflows
- Process automation — Approvals and handoffs

### Collaboration & Knowledge

Where documents, decisions and institutional memory live.

- SharePoint — Collaboration & content
- Microsoft 365 — Documents and productivity
- Knowledge systems — Where decisions are kept

### Operational Tools

The unglamorous tools that most organisations genuinely run on.

- Excel + VBA — Operational automation
- Operational spreadsheets — The tools teams already use
- Google Sheets + Apps Script — Lightweight automation

### Modern Platforms

Cloud, interfaces and the plumbing between systems.

- Cloud & APIs — Modern integration
- Data platforms — Analytics foundations
- System integration — Connecting what already exists

### Emerging Technology

Tested in Labs before it is recommended to a client.

- Generative AI — Intelligent workflows
- AI agents — Assisted operations
- IoT & edge computing — Field systems
- Remote sensing & geospatial — Mapping and monitoring

These are technologies we have worked with directly. Experience with a technology does not imply an official partnership, certification or endorsement by its vendor.

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Source: https://techblackboard.com/consulting
Language: en
Site: TechBlackboard — https://techblackboard.com