Case study · 2026

Solera Energy AI Procurement Agent

A Brisbane solar EPC contractor let an AI agent draft, compare, and route AUD 4M of monthly supplier RFQs.

Engineering & ConstructionAI & AgentsCustom Software

Impact

What changed.

01

Cycle compression

Average RFQ-to-PO cycle dropped from 8.4 working days to 2.1. Project engineers stopped chasing procurement; procurement stopped chasing suppliers.

02

Cost capture

The firm identified AUD 1.9M in annualised savings in the first six months — mostly from better-priced alternatives surfaced by the comparison tool that the team had been too time-poor to find.

03

Audit posture

Every PO now ties back to a documented comparison with reasoning. The CFO described it as the first time procurement could survive a finance audit without scrambling.

Engineers inspecting solar panel array on commercial rooftop

The challenge

Before

Solera Energy is a Brisbane-headquartered solar EPC contractor putting roughly AUD 4M a month through procurement across modules, inverters, mounting, cable, and balance-of-system. The procurement team of four was drowning — RFQs arriving as PDFs, quotes returning in inconsistent formats, comparisons hand-built in Excel, and recommendations written in long email threads that the project managers admitted they often skimmed. The team was missing better-priced alternatives simply because the analysis was too tedious to do thoroughly.

  • Inbound RFQs arriving as inconsistent PDFs from project engineers
  • Supplier quotes returning in mismatched formats and line-item naming
  • Bid comparisons hand-built in Excel taking 4-6 hours per package
  • Procurement recommendations sent as long email threads, often skimmed
  • No memory of past supplier performance influencing new decisions
  • Better-priced alternatives missed because thorough analysis was slow
  • Compliance documents (certificates, warranties) re-collected per quote
  • No audit trail tying final PO back to the comparison that justified it

The solution

What we built

We built a procurement agent that handles the work the team had been doing manually. When a project engineer raises an RFQ, the agent parses the requirement, identifies eligible suppliers from a vetted panel, drafts the outgoing RFQ in the firm's template, and sends it. When quotes return — in whatever format — the agent extracts line items, normalizes units of measure, applies known supplier discount structures, and produces a side-by-side comparison with total landed cost including freight, duties, and lead-time penalties. The agent flags compliance gaps (missing certificates, expired warranties) and pulls in supplier performance history (on-time delivery, reject rates, payment terms compliance) from the firm's history. A recommendation is generated with the agent's reasoning, but a human procurement lead approves before any PO is issued. Approval is one click; every decision and its justification is preserved as an audit trail. The agent runs on a private deployment with the firm's data — supplier price files never leave the environment.

Solera Energy AI Procurement Agent solution

Core workflow connections

How the system flows.

  • RFQ IntakeRequirement ParsingSupplier Panel MatchRFQ Drafted
  • Quote Received (PDF/email/XLS)Line ExtractionUnit Normalisation
  • Comparison BuildLanded CostCompliance CheckPerformance History
  • Recommendation DraftedReasoning CapturedProcurement Lead Review
  • ApprovalPO GeneratedAudit Trail LinkedProject Cost Updated
  • Supplier Performance FeedbackDelivery + Reject CaptureHistory Update
  • Compliance Document RefreshCertificate Expiry WatchSupplier Nudge
  • Private deployment with supplier price files inside the firm environment
  • One-click human approval preserving every reasoning step
  • Vetted supplier panel maintained by procurement, not by the agent

Process

How we built it.

Step 01

RFQ Intake → Requirement Parsing → Supplier Panel Match → RFQ Drafted

Step 02

Quote Received (PDF/email/XLS) → Line Extraction → Unit Normalisation

Step 03

Comparison Build → Landed Cost → Compliance Check → Performance History

Step 04

Recommendation Drafted → Reasoning Captured → Procurement Lead Review

Step 05

Approval → PO Generated → Audit Trail Linked → Project Cost Updated

Step 06

Supplier Performance Feedback → Delivery + Reject Capture → History Update

Step 07

Compliance Document Refresh → Certificate Expiry Watch → Supplier Nudge

Step 08

Private deployment with supplier price files inside the firm environment

Step 09

One-click human approval preserving every reasoning step

Step 10

Vetted supplier panel maintained by procurement, not by the agent

Start a project

Drowning in supplier quotes and PDF comparisons?

We build procurement agents that respect human approval — they do the grinding analysis, you keep the decision and the audit trail.

No retainer lock-in · Month-to-month · Full transparency

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