EcoScope TOR

AI-assisted drafting of public procurement Terms of Reference for environmental and sustainability projects, reducing manual effort, accelerating preparation, and improving consistency for public-sector contracting.

The Problem

“Slow, expert-dependent drafting of environmental procurement Terms of Reference delays project execution”

Organizations face these key challenges:

1

Drafting depends on a small pool of procurement and environmental specialists

2

Prior TORs and reference materials are scattered across folders and email threads

3

Manual copy-paste introduces inconsistencies and outdated clauses

4

Review cycles are slow because missing sections are discovered late

5

Project-specific requirements are hard to translate into standardized procurement language

6

Compliance with public procurement and environmental rules is difficult to maintain manually

7

Document approvals lack structured workflow and traceability

Impact When Solved

Reduce TOR first-draft preparation time from weeks to hours or daysStandardize procurement documentation across environmental initiativesLower rework caused by missing clauses, outdated templates, and inconsistent structureFree senior environmental and procurement experts to focus on review instead of initial draftingImprove auditability with versioned inputs, generated outputs, and approval historyAccelerate launch of environmental impact assessment procurements for strategic energy projects

The Shift

Before AI~85% Manual

Human Does

  • •Collect project scope, environmental requirements, and procurement details from internal records
  • •Draft the TOR by adapting prior templates and copying relevant clauses from past procurements
  • •Consult legal and environmental specialists to revise scope, deliverables, and compliance language
  • •Review document completeness and resolve inconsistencies through email-based revision cycles

Automation

    With AI~75% Automated

    Human Does

    • •Provide project-specific inputs and confirm the procurement context for TOR generation
    • •Review AI-generated sections for scope accuracy, legal suitability, and environmental adequacy
    • •Approve exceptions, edits, and final TOR language before release into procurement workflow

    AI Handles

    • •Generate a first-draft TOR from project inputs, approved templates, and required procurement structure
    • •Retrieve and apply relevant legal, environmental, and PSI-specific clauses to each document section
    • •Check draft completeness against mandatory sections, deliverables, and evaluation criteria
    • •Route drafts for review, track revisions, and store approved TORs for reuse in future procurements

    Operating Intelligence

    How it works

    Humans set constraints. AI generates options.

    Humans choose what moves forward.

    Selections improve future generation quality.

    Confidence97%
    ArchetypeGenerate & Evaluate
    Shape6-step branching
    Human gates2
    Autonomy
    50%AI controls 3 of 6 steps

    Who is in control at each step

    Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

    Loop shapebranching

    Step 1

    Define Constraints

    Step 2

    Generate

    Step 3

    Evaluate

    Step 4

    Select & Refine

    Step 5

    Deliver

    Step 6

    Feedback

    AI lead

    Autonomous execution

    2AI
    3AI
    5AI
    gate
    gate

    Human lead

    Approval, override, feedback

    1Human
    4Human
    6↺ Loop
    AI-led step
    Human-controlled step
    Feedback loop
    TL;DR

    Humans define the constraints. AI generates and evaluates options. Humans select what ships. Outcomes train the next generation cycle.

    The Loop

    6 steps

    1 operating angles mapped

    Operational Depth

    Technologies

    Technologies commonly used in EcoScope TOR implementations:

    Maria AI assistantOther
    4 mentions
    Secure digital environment with access controlOther
    4 mentions
    Seplan DITI development supportOther
    4 mentions
    Acquisition plan and results matrix repositoryOther
    3 mentions
    Structured procurement workflow/formsOther
    3 mentions

    Key Players

    Companies actively working on EcoScope TOR solutions:

    enterprise copilots for public-sector back office

    Real-World Use Cases

    AI-generated public procurement Terms of Reference for the Piauí Sustentável e Inclusivo project

    A government team uses an AI assistant called Maria to fill out and generate procurement documents that used to take specialists weeks to prepare.

    Document generation and workflow automationearly production deployment after four months of testing with reported operational results.
    10.0

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