Sustaira AI | AI Agent Factory & Control Console
Automate sustainability work. Keep control of every decision.
Sustainability teams spend too much time processing documents, mapping emission factors and checking data. Sustaira AI automates repetitive work, improves with your feedback and keeps your team in control of the results.
Built for sustainability work. Governed by your rules. Designed for measurable impact.
Trusted by
Sustaira AI Agent Factory
Pick your sustainability challenge. Put AI to work.
The Sustaira AI Agent Factory builds, tests and improves specialised AI agents for sustainability work. Combine proven building blocks into workflows that fit your processes, data and requirements.
-
Document to Carbon Accounting
From invoices to carbon data, with less manual work.
Extract relevant activity data from invoices, utility bills and supporting documents. Match records to the right locations and emission factors, convert units and prepare structured carbon accounting data for review.
-
Table to Carbon Accounting
Turn fragmented data into a consistent dataset.
Transform spreadsheets and supported data exports into clean, structured sustainability data. Reduce the manual work involved in reconciling different layouts and preparing information for downstream processes.
-
Emission Factor Mapping
Find the right factor. Know why it fits.
Match activity data to the best-fit emission factors based on relevant criteria, with traceability to the source, scope and methodology behind each match.
-
Document to Knowledge Base
Your sustainability evidence, ready to use.
Bring policies, sustainability reports and certifications into a searchable knowledge base, making it easier to find relevant evidence when preparing disclosures and answering internal or external requests.
-
Document to Structured Questionnaire
Turn document-based requests into structured workflows.
Convert questionnaires and reporting templates received as PDFs into structured digital formats, helping your team organise questions, prepare responses and manage completion more efficiently.
-
Question Answering Agent
Answers grounded in your own evidence.
Generate draft responses to sustainability questions using your organisation's available documentation. Link answers to supporting evidence so your team can review and verify them before submission.
What's next for the Factory?
More ways to automate sustainability work.
Any Data to Carbon Data Agent: Seamlessly ingest raw inputs from any source and output audit-ready carbon datasets.
Junior Data Analyst Agent: Automatically generate visual insights & reports, map trends, and statistics across the Sustaira platform.
Data Review Agent: Regularly audit your data to catch missing entries, outliers, and errors before review.
Upcoming capabilities are subject to the product roadmap.
“Sustaira’s solution slashed the Siemens Financial Services Americas team’s reporting workload by 40%, automating emissions calculations fully aligned with GHG Protocol and PCAF standards.”
— Erika Gupta, Head of Sustainability at SiemensFinancial Services
Your sustainability data is everywhere. Processing it shouldn't be your team's full-time job.
Invoices, utility bills, spreadsheets and disclosure documents hold information your sustainability team needs. But extracting it, structuring it, matching the right emission factors and checking the results takes time and creates opportunities for errors.
Sustaira AI takes on this repetitive work, giving your team more time to validate results, identify opportunities and act on sustainability priorities.
Less manual work: Automate document extraction, data mapping and structuring to reduce repetitive tasks across sustainability processes.
More consistent data: Apply defined standards, trusted emission factor sources and validation checks across your workflows.
Traceable results: Keep outputs connected to their source, with visibility into the reasoning, checks and human reviews behind them.
Our AI principles
AI that works with people, not around them.
Trustworthy AI isn't just about what it can do. It's about how it makes decisions, how reliably it performs, and how people stay in control. These five principles guide how we build, deploy and improve AI at Sustaira.
01
Traceable and auditable by design
Every output can be traced back to its source, with visibility into the data, methods and checks behind it. Accountability is built into the workflow, not added afterwards.
02
Consistency over perfection
We prioritise reliable, repeatable performance that delivers practical value. We test against known results, monitor performance and improve where it matters most.
03
Make uncertainty visible
AI should communicate when it is unsure. Confidence signals, flagged exceptions and review thresholds help teams focus their attention where human judgement matters most.
04
AI that works within your sustainability ecosystem
AI isn't an isolated add-on. It works alongside your data, systems and sustainability workflows, connecting specialised capabilities to the processes your teams already use.
05
AI does the work. People retain accountability.
AI handles repetitive tasks and supports complex decisions. People remain responsible for reviewing high-stakes outputs, approving consequential actions and making the final call where it matters.
The Foundation for everything we build
These principles shape our AI Agent Factory and AI Control Console, so you get powerful automation without giving up control.
Build to be trusted
AI you can verify, control and improve.
Automating work should never mean giving up oversight. Sustaira combines the AI Agent Factory with the AI Control Console, giving your organisation a structured way to build, deploy, govern and measure AI across sustainability workflows.
Govern
Set the rules. Keep people accountable.
Choose which workflows are enabled, define where human approval is required and establish boundaries for what each agent can access or do. Translate company policies into traceable guardrails, with your team's approval.
Measure
Know what works and what it delivers.
Monitor output acceptance, edits and rejections, alongside usage, spend and performance. Track time saved and costs avoided to understand where AI is creating value and where workflows need improvement.
Secure
Keep your data and AI within agreed boundaries.
Choose where your data resides and which AI models your deployment uses. Control user access, set usage limits and restrict agents to approved systems and actions. Keep consequential write-back actions under human control where required.
Learn
Improve results without losing control.
Test agents before deployment and re-test changes as they evolve. Use your team's feedback to improve customer-specific workflows, while keeping customer data and adaptations separate from those of other customers.
Your team has bigger things to do than process data by hand.
See how Sustaira AI can automate repetitive sustainability work while keeping your team in control of the rules, reviews and results.
Explore the architecture behind Sustaira AI
The Factory makes it. The Control Console makes it trustworthy.
Discover how Sustaira builds, tests and orchestrates sustainability AI, while giving your organisation control over how agents behave, what they can access and how their performance is measured.
The technical documentation explores the building blocks, learning systems and governance mechanisms behind Sustaira AI, including:
Build & Orchestrate: How agents, tools, guardrails and context come together in agentic workflows and AI harnesses.
Learn: How quality testing and customer-specific adaptations improve AI performance over time.
Govern & Secure: How policies become guardrails, people stay in control and data remains within agreed boundaries.
Measure: How performance, budget, usage and value are monitored across AI workflows.
