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AI Transformation for Complex Business Processes

  1. 01Complex problem
  2. 02Structured understanding
  3. 03AI opportunity
  4. 04Designed solution
  5. 05Validated solution
  6. 06Implementation
  7. 07Transformation
FIG. 01 · From a complex problem to a transformed process.AEC · MANUFACTURING · AUTOMOTIVE

Our service families.

F.01PRIMARY

AI Transformation

AI transformation services that help organizations identify, design, build and implement AI-enabled workflows and systems.

F.02

Research & Intelligence

Research services that turn market, customer, competitor and technology questions into structured evidence for better decisions.

F.03

BIM & MEP Engineering

Engineering services covering BIM modeling, MEP coordination and specialist engineering delivery for complex construction and infrastructure projects.

Are you ready for AI transformation?

  1. Q.01Do you know whether your existing systems, processes and data are ready for AI?
  2. Q.02Do you know where AI can create measurable value in your processes?
  3. Q.03Do you know which AI opportunities should be prioritised first?
  4. Q.04Do you know what should be automated, augmented or redesigned?
T.00 · STRUCTURED ASSESSMENTIf you don't have clear answers, start with an AI Readiness Assessment.Start with an AI Readiness Assessment
ACTIONABLE OPPORTUNITY · WHAT YOU RECEIVE
  1. O.01AI opportunity landscape
  2. O.02Process / workflow assessment
  3. O.03AI readiness assessment
  4. O.04Prioritised AI use cases
  5. O.05Initial implementation roadmap

AI Transformation Services

Each service is described by the situation it fits, what Innodrive does and what you receive. Find the one that matches where your organization is today.

T.00

AI Readiness Assessment

The starting point for organizations that know AI is important but need to determine where and how to apply it.

WHENYou know AI matters, but you do not yet have clear answers on readiness, value and priorities.
WHAT WE DOAssess processes, systems and data → identify and evaluate AI opportunities → prioritise and define what to build first.
OUTPUT / VALUEAI opportunity landscape · process / workflow assessment · AI readiness assessment · prioritised use cases · initial implementation roadmap.
T.01

AI Strategy

For organizations that need to determine where and how AI should become part of their business or engineering strategy.

WHENYou know AI is strategically important but need to determine where to invest.
WHAT WE DOAssess opportunities → define priorities → develop the transformation direction.
OUTPUT / VALUEPrioritised AI opportunities, strategic direction and an implementation roadmap.
T.02

AI Agent Development

Design and development of AI agents for complex knowledge and workflow tasks.

WHENKnowledge work depends on people searching, reading, checking and drafting across documents and systems.
WHAT WE DODefine the task and boundaries → design the agent, its tools and review points → build, evaluate and pilot.
OUTPUT / VALUEA working agent connected to your knowledge sources, with evaluation results and defined human decisions.
T.03

AI Automation

Design and implementation of AI-enabled workflows and process automation.

WHENRepetitive, rule-heavy workflows move information between people and systems by hand.
WHAT WE DOMap the workflow → decide what to automate or augment → implement across existing systems.
OUTPUT / VALUEAn automated workflow in operation, integrated with existing tools.
T.04

Process Transformation

Redesign business and engineering processes around AI-enabled capabilities.

WHENThe process itself limits the outcome, and adding AI to the current steps would not be enough.
WHAT WE DOMap the current state → redesign steps, roles and controls around AI → pilot and roll out.
OUTPUT / VALUEA redesigned target process, operating model and transition plan.
T.05

Custom AI Solutions

Purpose-built AI systems for specialized organizational, engineering or domain-specific requirements.

WHENRequirements are specialized enough that off-the-shelf tools do not fit.
WHAT WE DOResearch the domain and data → design the architecture → build, validate and deploy.
OUTPUT / VALUEA purpose-built AI system, deployed, with architecture documentation.
CROSS-CUTTING · IMPLEMENTATION CAPABILITYEvery AI service can be carried through to a working system in operation.
Solution developmentSystem integrationWorkflow implementationPilot deploymentOperationalisationScaling

Research & Intelligence

Turn market, customer, competitor and technology questions into structured evidence for better decisions.

R.01

Strategic Research

Evidence on markets, competitors and industries for strategic and commercial decisions.

  • Market Research
  • Market Entry Assessment
  • Competitor Research
  • Industry & Landscape Research
  • Product / Category Research
WHENYou are entering a market, repositioning, or need to understand competitors and industry direction.
OUTPUT / VALUEMarket, competitor and landscape evidence structured around the decision at hand.
R.02

User Research

Evidence on how users and customers behave, what they need and how they respond to products.

  • User Needs & Behaviour
  • Consumer Research
  • Product Feedback
  • Concept Feedback
  • Feature Testing
  • Usability / Experience Research
WHENYou need to understand users, or test a product, concept or feature before investing further.
OUTPUT / VALUENeeds, behaviour and feedback synthesized into findings and design implications.
R.03

AI Research

Evidence on the AI market, technologies and use cases before committing to a direction.

  • AI Market Research
  • AI Technology Landscape
  • AI Use-Case Research
  • AI Agent / Model Research
WHENYou need an informed view of AI markets, technologies or use cases.
OUTPUT / VALUEA structured view of the AI landscape and the options relevant to you.
R.04

Domain-Specific AI Model Research

Evidence on whether AI models can handle a specific domain, its knowledge and its tasks.

  • Domain Knowledge Research
  • Model Capability Assessment
  • Model Suitability Research
  • Evaluation & Benchmarking
WHENYou need to know whether models are capable and suitable for your domain.
OUTPUT / VALUECapability and suitability findings with evaluation and benchmark results.

BIM & MEP Engineering

Engineering services covering BIM modeling, MEP coordination and specialist engineering delivery for complex construction and infrastructure projects.

LEVEL OF DEVELOPMENT
100200300350–400500
Models from LoD 100 to 500 · high-fidelity delivery at LoD 350–500
STANDARDSISO 19650IPCUPCNFPA
Federated BIM / MEP model render
B.01

BIM Modeling

3D BIM models developed from 2D drawings or point cloud data.

  • 3D BIM Modeling
  • Architectural BIM
  • Structural BIM
  • MEP BIM
  • LoD 350–500 Modeling
  • Scan to BIM
  • As-Built Models
  • Rebar & Bar Bending Schedules
RevitLoD 100–500Point cloud
B.02

BIM Coordination

Interference checking and resolution management before construction.

  • Clash Detection
  • Clash Resolution / Coordination
  • MEP Coordination
  • Multidiscipline Coordination
  • Clash-Free Reports
NavisworksRevizto
B.03

MEP Engineering

Design and consultancy for mechanical, electrical and plumbing systems.

  • MEP Planning & Design
  • Mechanical Engineering
  • Electrical Engineering & Lighting
  • Plumbing Engineering & Drainage
  • HVAC Consultancy
  • Fire Fighting System Design
  • Fabrication Drawings
IPCUPCNFPA

From understanding the problem to a transformed process.

How the AI services support an organization across seven stages. This is a capability journey, not a mandatory sequence: enter at the stage that matches your maturity. Select a stage to see what happens there.

STAGE
AI Readiness Assessment
AI Strategy
AI Agent Development
AI Automation
Process Transformation
Custom AI Solutions
Implementation capabilityCROSS-CUTTING
STAGE 01ASSESSUnderstand readiness, processes, systems, data and opportunities.
ENTER HERE IFYou know AI matters but not yet where it creates value.
ACTIVE AT THIS STAGE
AI Readiness AssessmentAI Strategy
Recommended starting pointService coverageImplementation capability

Not sure where AI can create the most value?

Start by understanding your readiness, opportunities and priorities.

Start with an AI Readiness Assessment