AI Augmented Workflows

End-to-end intelligent workflows for AECO data.

Using our unique PromptStack™ AI engine, we process all of your unstructured, project-wide data to deliver accurate Build Intelligence at speed and scale. Whether it's compliance, asset management or a custom solution, we augment your AECO workflows to help you fully optimise build projects and asset portfolios.

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Step 01UnderstandRead data

Reads all your project data, structured or not.

Function
Data Reader
Reads PDFs, drawings, scans, spreadsheets, databases, SharePoint, web sources and more.

BuildPrompt™ reads all your data. Instead of making do with analysing the 10 to 20% of your structured data, you can now also include the 80 to 90% of your data.

Any format
PDFs, DWG, IFC, XLS, scans, JSON, SQL.
Any source
SharePoint, Fabric, Box, Databricks, custom APIs.
Data passes to unified document processor →
Transformation Layer Live
Knowledge Graph 3,652 entities · 14,809 edges
Step 02OrganiseIngest data

Pulls all data into one layer.

Function
Unified Data Processor
Brings all your project data into one consistent format, so the AI can work across every record.

Every requirement, drawing, clause, inspection and record is connected to the documents and decisions around it. Nothing sits in isolation, so any answer can be traced back through the evidence chain to the business outcome it supports.

Interconnected
Entities linked by relationships, not folders.
Traceable
Every output back to its source clause, row or page.
Auditable
Outcomes tied to evidence for compliance and assurance.
Connected data passes to PromptStack →
Step 03QuestionProcess data

Processes the AECO workflow.

Function
PromptStack workflow engine
Takes an objective and creates a repeatable multi-step process, through a series of prompts and sub-prompts, to return a fully cross-referenced, verified and evidenced response.

PromptStack provides the Build Intelligence for your AECO projects and asset portfolios. It does so at the speed and scale you need to fully optimise both.

Data outputs to dashboards and reports →
PromptStack run Live · 418ms
01 Compose

Compose the PromptStack

Build once, reuse

Compose a multi-step PromptStack™ workflow once and reuse it across thousands of submissions, leases and reports.

02 Decompose

Decompose to sub-prompts

Specialist tasks

Every prompt is broken into focused sub-prompts: classification, table extraction, tolerance, evidence retrieval.

03 Verify

Verify across LLMs

Cross-model consensus

Critical sub-prompts run across multiple LLMs. Disagreement triggers escalation, not silent error.

04 Origin

Anchor to origin

Source-linked evidence

Every output ships with its origin: the exact page, clause, row or cell it came from. Click any number to view its origin.

Compliance dashboard Live · streaming
Step 04DeliverWorkflow outputs

Outputs Build Intelligence.

Function
Dashboards, reports and advanced queries
Turns PromptStack's output into dashboards, reports and alerts. Advanced queries drill into any metric, click into any live citation, and manipulate data views.

BuildPrompt surfaces compliance, quality and risk issues with the evidence already attached. You don't have to go hunting for problems or opportunities, they come to you.

Live
Real-time, alerted, surfaced as it changes.
Drill-through
Every metric clicks back to source data.
Composable
Build the view your team needs.
Verified answer surfaces on Path →

End-to-end intelligent workflow augmentation

How we read your project data, connect it, run it through PromptStack and deliver accurate answers at speed and scale.

ISO 14001 ISO 9001 ISO 27001
UNDERSTAND
DATA READ · 01
  • PDF
    reports · drawings
  • IMG
    drawings · photos
  • DOCX / DOC
    specs · contracts
  • CSV / XLS
    tabular registers
  • IFC / BIM
    parametric geometry
  • Databases
    SQL · warehouse
  • Cloud Storage
    sharepoint · s3
Reads all data: unstructured and structured.
ORGANISE
DATA INGEST · 02
Unified Data Processor

Brings all your project data into one consistent format, so the AI can work across every record.

→ Database → Knowledge Graph
QUESTION
PARALLEL REASONING ENGINE · 03
PromptStack

Takes an objective and creates a repeatable multi-step process, a series of prompts and sub-prompts that returns a fully cross-referenced, verified and evidenced response.

P1Prompt 1
SubP 1 SubP 2 SubP 3
P2Prompt 2
SubP 4 SubP 5 SubP 6
P3Prompt 3
SubP 7 SubP 8 SubP 9
P4Prompt 4
SubP 10 SubP 11 SubP 12
MULTI-MODEL VERIF.
cross-ref
A vs B
consensus
3 models
evidence
source span
validation
tolerance
HITL Merge
synth
Database Knowledge Graph Tools
115+ Large Language Models
Routed by task type, domain & complexity
RLHF
DELIVER
STRUCTURED OUTPUT · 04
Path Analytics

Cost plans, schedules, risk registers, compliance reports.

Advanced Data Queries

Ask follow-up questions and dig deeper into any result.

Continuous Improvement

Gets sharper with every project.

Cross-reference validation Consensus building Evidence grounding Validation pass Human-in-the-loop RLHF feedback loop

Build Intelligence, delivered.

Accelerate handover, prove compliance and optimise portfolios, with results you can measure.

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