Core Differentiator

AI Agents That Work Inside Your Business.

Not chatbots on your website — intelligent agents embedded in your CRM, finance, and operations workflows, handling real work while your team focuses on what only humans can do.

ProductiveProfitableScalableSellable

The Difference

Not chatbots. Not automations.
Actual AI agents.

✕ What you've seen before

Chatbots and simple automations

  • Sits on your website answering FAQs — disconnected from your actual business data
  • Follows rigid if/then rules — breaks when something unexpected happens
  • Requires someone to manage, update, and fix it when it fails
  • Generic — the same bot every other business has, doing the same things
  • Can't understand context, nuance, or unstructured information like emails and transcripts
✓ What we build

AI agents embedded in your operations

  • Lives inside your CRM, finance, and operations systems — works with your actual data
  • Reasons and makes judgements — handles situations that weren't pre-programmed
  • Self-managing — escalates to a human only when genuine judgement is needed
  • Built for your specific industry and workflows — not an off-the-shelf product
  • Reads transcripts, emails, and documents — understands context, not just keywords

What We Build

Agents built for how your business actually works.

Pre-builtIndustry Context
Financial Services Agent
Deployed
Construction Agent
Deployed
Professional Services Agent
Ready
Education Agent
Ready
Pre-loaded knowledge
Compliance rulesIndustry terminologyCommon workflowsNZ/AU regulationsEscalation logic
Industry-Trained from Day One
Agents that already understand your industry's terminology, workflows, and compliance rules — no setup, no training data, no prompting required.
MCPIntegrations
Google Workspace
Gmail · Calendar · Drive
Live
Microsoft 365
Outlook · Teams · SharePoint
Live
Xero
Invoices · Bills · Reconciliation
Live
WhatsApp Business
Messaging · Documents · Alerts
Live
Powered by Model Context Protocol (MCP)
+ 40 more connectors
Connected Across Every Tool
Agents that read from and write to your real systems via MCP — Google, Microsoft, Xero, WhatsApp, and 40+ more. No copy-paste, no manual sync.
Human-in-the-LoopApproval
1
Agent detects action required
Reads data, prepares recommendation
Done
2
High-stakes decision flagged
Contract value exceeds threshold · Routed for review
3
Human reviews and decides
Approve, edit, or reject — agent logs outcome
Waiting
Awaiting your decision — Invoice approval · $48,200
Approve
Edit
Reject
Human-in-the-Loop by Design
Agents act autonomously on routine tasks and route high-stakes decisions to the right human — with the brief already prepared. You stay in control of what matters.
AdaptiveContinuous Learning
🎯
Accuracy rate
94.8% → 99.2%
Tasks handled without escalation
↑ 34%
✏️
Edge cases learned this month
+12 rules added
Recent adjustments by your team
→ Invoice threshold raised from $10K to $25K
→ Follow-up cadence changed from 3 to 5 days
→ New escalation rule added for international contracts
Adapts as Your Business Grows
Agents learn from corrections, handle edge cases over time, and can be adjusted by your team without rebuilding from scratch. They get sharper the longer they run.

Industry Use Cases

AI agents built for your industry.

Not generic automations — agents that understand how your specific business operates and make decisions accordingly.

Fact-Find & Needs Analysis Agent

Reads transcripts or recordings to populate a fact-find

✦ AI capability: Understands unstructured conversation — not just keywords

After a client meeting or call, the agent reads the transcript or recording, understands the conversation in context, and fills in the fact-find — income, debts, goals, dependants, risk appetite — without the adviser manually entering a single field.

HOW IT WORKS

  1. 1Adviser uploads call recording or meeting transcript
  2. 2Agent reads and understands the full conversation — extracts income figures, liabilities, goals, family situation, risk appetite from natural dialogue
  3. 3Populates fact-find fields in the CRM — flags anything unclear or missing with a question for the adviser
  4. 4Adviser reviews and confirms — compliance-ready in minutes not hours
Hours → minutesNothing missedCompliance ready

Financial Analysis & Product Research Agent

Analyses statements, researches lenders, recommends products with reasoning

✦ AI capability: Reasons across complex financial data — not just rule matching

Reads a client's bank statements, extracts income patterns and anomalies, then cross-references against current lender criteria and products to build a ranked shortlist with written reasoning — tailored to this specific client.

HOW IT WORKS

  1. 1Agent ingests 3–12 months of bank statements and financial documents
  2. 2Extracts income patterns, irregular deposits, liabilities, spending behaviour — flags AML concerns if present
  3. 3Cross-references client profile and goals against current lender criteria and product positioning
  4. 4Produces ranked shortlist with reasoning — why each lender or product fits this client specifically
3 hrs research → 8 minsReasoned not genericAML flagging included

Compliance & Record-Keeping Agent

Monitors obligations, reaches out to clients, prepares documentation

✦ AI capability: Understands regulatory context — knows what's missing and why it matters

Monitors every client file for compliance obligations — review dates, document expiry, AML checks — then reaches out to clients to collect updated information, and prepares review documentation ready for adviser sign-off.

HOW IT WORKS

  1. 1Agent scans all client records — identifies upcoming reviews, expired documents, missing AML records
  2. 2Reaches out to client — explains what's needed, collects updated details through a structured process
  3. 3Prepares compliance documentation — annual review report, updated fact-find, AML record — ready for sign-off
  4. 4Flags anything requiring adviser judgement — everything else is handled automatically
Audit-ready alwaysClient outreach automatedNothing slips through

Review & Renewal Agent

Collects updated details, understands life changes, prepares adviser briefing

✦ AI capability: Understands client context — interprets life changes not just data fields

Before every annual review, contacts the client, collects updated financial information and life changes, and prepares a full briefing document for the adviser — so the meeting is a conversation about advice, not data gathering.

HOW IT WORKS

  1. 1Agent identifies review approaching — sends personalised outreach explaining what's needed
  2. 2Client submits updated details — agent reads responses and understands life changes (new job, baby, property purchase, divorce)
  3. 3Prepares adviser briefing — what's changed since last review, which products may need updating, suggested agenda
  4. 4Adviser walks into the meeting already briefed — time spent on advice not admin
Meeting prep automatedLife events understoodClient experience improved

Project Planning & Estimation Agent

Reads scope documents, plans timelines and budgets using historical data

✦ AI capability: Reasons from unstructured documents using past project data

Reads a project scope or tender brief, breaks it into work packages, estimates durations and costs using data from previous similar jobs, and produces a draft programme and budget — before the PM has opened a spreadsheet.

HOW IT WORKS

  1. 1Agent reads scope of work document — understands project type, scale, and requirements
  2. 2Compares against historical data from similar completed jobs — labour hours, material costs, typical overruns by trade
  3. 3Produces draft programme with milestones, resource allocation, and budget breakdown by category
  4. 4Flags risks from past experience — 'roof work in this season has a 70% weather delay rate on similar projects'
Estimation time halvedData-backed accuracyRisks surfaced early

Budget & Resource Consumption Agent

Tracks actual vs estimate, predicts final cost using historical benchmarks

✦ AI capability: Identifies patterns — predicts where a job will land not just where it is

Tracks actual labour, material, and subcontractor costs against estimate in real time — and uses data from previous projects to predict where the current job will land at completion, not just report where it is now.

HOW IT WORKS

  1. 1Agent ingests time entries, supplier invoices, and subcontractor claims as they arrive
  2. 2Compares consumption rate against estimate trajectory — projected final cost, not just current spend
  3. 3Cross-references historical data — 'electrical on this job type typically runs 12% over at this stage'
  4. 4Alerts PM with a specific prediction — 'at current rate electrical will finish $18K over — here is why'
Overruns predicted not reportedHistorical benchmarkingSpecific alerts

Variation & Change Capture Agent

Reads emails and site notes to identify and formalise scope changes

✦ AI capability: Understands unstructured communication — extracts meaning not keywords

Monitors all project communication for anything that looks like a scope change or instruction to proceed. Captures it, creates a formal variation, and routes for approval — before the work is done.

HOW IT WORKS

  1. 1Subcontractor emails: 'the beam size won't work, we need to go up a size — should we proceed?'
  2. 2Agent reads the email, understands it as a variation request — extracts the change, cost impact, and programme implication
  3. 3Creates formal variation record, cites the relevant contract clause, drafts client approval request
  4. 4No work proceeds without approval — everything captured, nothing remains verbal
Every change capturedNothing stays verbalContract always protected

Health, Safety & Compliance Agent

Monitors H&S documentation, flags gaps, drafts missing documents

✦ AI capability: Understands which regulations apply to each specific work type

Monitors site documentation against the H&S requirements for the specific work type on this project — and drafts missing documents for PM review, not just flags that something is missing.

HOW IT WORKS

  1. 1Agent monitors SWMS, induction records, subcontractor certifications, toolbox sign-offs
  2. 2Understands which H&S requirements apply — confined space, working at height, asbestos, hot works
  3. 3Flags gaps — 'no SWMS for roof work starting Monday, 2 subcontractors have expired certs'
  4. 4Drafts the missing documents for PM review — not just a flag, an actual solution
Compliance gaps closedIncidents preventedDocuments drafted not just flagged

Warranty & Returns Agent

Verifies policy, assesses eligibility, resolves claims without human intervention

✦ AI capability: Understands product policies and customer context

Customer contacts you about a faulty product — the agent reads the issue, checks the warranty policy for that specific product and supplier, verifies eligibility, and resolves the claim without a human needing to touch it.

HOW IT WORKS

  1. 1Customer emails: 'the hydraulic pump we ordered last month has failed in the field'
  2. 2Agent identifies the product, checks purchase date, verifies against supplier warranty terms
  3. 3Determines eligibility — within warranty period, correct application, supplier policy conditions met
  4. 4Arranges replacement, creates RMA, notifies supplier — resolved without any human involvement
Claims resolved in minutesPolicy always correctCustomer updated automatically

Demand Forecasting & Inventory Planning Agent

Analyses buying patterns and seasonal trends to recommend what to order and when

✦ AI capability: Reasons across historical data — finds patterns humans miss

Analyses years of sales data, identifies seasonal demand patterns per product and customer segment, factors in supplier lead times, and recommends what to order and when — with the reasoning explained.

HOW IT WORKS

  1. 1Agent analyses 2–3 years of transaction data — identifies seasonal demand curves per SKU and customer type
  2. 2Cross-references with current stock levels and supplier lead times
  3. 3'Lubricants spike 40% in Q2 — need to order 6 weeks ahead given this supplier's lead time'
  4. 4Produces recommended order schedule with written reasoning — not just quantities, but why and when
Stockouts preventedOverstock reducedAlways seasonally prepared

Aging Inventory & Promotions Agent

Flags slow-moving stock, suggests targeted promotions to the right customers

✦ AI capability: Reasons about margin, velocity, and buying patterns

Monitors inventory age and turnover velocity, identifies products needing a pricing intervention, and suggests specific promotions targeted to the customers most likely to buy — before stock becomes a write-off.

HOW IT WORKS

  1. 1Agent identifies 200L of hydraulic fluid — 90 days in stock, turnover velocity slowing
  2. 2Analyses which active customers have bought this product in the past
  3. 3'15% promotional price to these 4 accounts would clear the stock and maintain margin versus a write-off'
  4. 4Drafts targeted outreach to those specific accounts with the promotional offer
Aging stock clearedMargin protectedRight customers targeted

Customer Support & Account Intelligence Agent

Resolves queries with full account context — not scripts

✦ AI capability: Understands customer history — responds in context not from a script

Handles inbound customer queries by understanding the full account history — orders, invoices, delivery status, pricing agreements — and responds with accurate, contextual answers in minutes rather than days.

HOW IT WORKS

  1. 1Customer: 'where is my order from Tuesday and why is the price different to last month?'
  2. 2Agent reads full account history — finds the order, its delivery status, and the reason for the price change
  3. 3Understands price changed due to a supplier increase communicated in March — has the full context
  4. 4Responds with the full explanation — delivery ETA, price reasoning, relevant history — in 90 seconds
Queries resolved in minutesFull account contextEscalation only when needed

Scope & Document Review Agent

Reads client briefs against contracts, identifies out-of-scope items

✦ AI capability: Understands contract language and intent — not keyword matching

When a client sends a new brief, the agent reads it against the signed contract scope, identifies every item outside what was agreed, and prepares a variation notice with the relevant contract clause cited — before the PM has read the brief.

HOW IT WORKS

  1. 1Client sends updated project brief — 40 pages of requirements and changes
  2. 2Agent reads brief against the signed contract — understands intent, not just keywords
  3. 3Identifies 6 items outside original scope — structural engineer review, 2 additional concepts, heritage report
  4. 4Prepares variation notice citing the specific contract clause and estimated fees — ready before a single hour is spent
Scope creep stopped at sourceEvery variation billedContract clause always cited

Work in Progress & Billing Agent

Tracks WIP, identifies billing milestones, prepares invoices for approval

✦ AI capability: Understands project stage and contract billing structure

Monitors time entries and project stages, understands when a billing trigger has been reached, and prepares the invoice with the correct description and backup — flagged for PM approval, not created from scratch.

HOW IT WORKS

  1. 1Agent monitors time entries and project stage updates continuously
  2. 2Identifies: concept design phase complete — billing milestone reached per contract
  3. 3Checks WIP balance, verifies hours against agreed estimate, notes any variations to include
  4. 4Prepares invoice with correct description, amounts, and backup detail — PM reviews, not creates
Nothing left unbilledCash flow predictablePM reviews not creates

Automated Time Capture Agent

Reads calendar and emails to suggest daily timesheet entries

✦ AI capability: Understands what work was done from context — not manual entry

At end of day, reviews calendar events, emails sent, documents edited, and calls made — and suggests a complete timesheet with project codes and descriptions. The team reviews and confirms, rather than trying to remember.

HOW IT WORKS

  1. 1End of day — agent reviews calendar, emails, document edit history, and calls
  2. 2Suggests timesheet entries with project codes, descriptions, and estimated hours
  3. 3Team member reviews — adjusts anything needed, confirms with one click
  4. 4Timesheet submitted in 2 minutes — nothing forgotten, write-offs eliminated
Write-offs eliminatedTimesheets complete every day2 minutes not 20

Project Risk & Specialist Research Agent

Researches specialist requirements, flags risks, prepares documentation

✦ AI capability: Researches and reasons across technical and regulatory domains

When a project involves specialist areas — heritage, resource consent, geotechnical, fire engineering — the agent researches what applies to this specific site and project, identifies risks, and prepares a risk register before the project starts.

HOW IT WORKS

  1. 1New project: residential development with potential heritage overlay and known flooding risk
  2. 2Agent researches: council heritage maps, flood zone data, resource consent requirements for this site
  3. 3Identifies: heritage assessment required, 500-year flood event impacts foundation design, specialist reports needed pre-consent
  4. 4Prepares risk register, documentation checklist, and specialist engagement list — project starts with eyes open
Risks surfaced before they cost moneySpecialist gaps identified earlyDocumentation ready day one

Maintenance Triage & Resolution Agent

Reads requests, understands urgency from context, assigns and tracks to resolution

✦ AI capability: Understands unstructured requests — urgency is not just a keyword

Tenant contacts you about a maintenance issue — the agent reads the request, understands the real urgency from context, identifies the right tradesperson, and manages the resolution without the property manager touching it.

HOW IT WORKS

  1. 1Tenant texts: 'the hot water has been cold since yesterday morning, we have a newborn'
  2. 2Agent understands the newborn makes this an emergency — not a standard 5-day maintenance response
  3. 3Assigns emergency plumber from approved supplier list, notifies tenant of ETA, notifies owner
  4. 4Tracks to resolution, logs for owner report, updates maintenance register — no PM involvement needed
Right urgency every timeContext understoodPM freed for complex decisions

Tenant Retention Agent

Analyses history, identifies churn risk, initiates personalised outreach

✦ AI capability: Reads multiple signals to predict behaviour — not just lease dates

Analyses tenant payment history, maintenance frequency, and communication sentiment to identify who is at risk of leaving before the lease is up — and reaches out with personalised retention before it is too late.

HOW IT WORKS

  1. 1Agent analyses tenant history — payment consistency, maintenance issues, tone of recent communications
  2. 2Identifies: tenant at 14 Wakefield has had 3 unresolved issues, renewal in 60 days — churn risk high
  3. 3Reaches out acknowledging the issues, confirms resolution timeline, presents a renewal offer
  4. 4Retention conversation started before the tenant has decided to leave
Churn predicted before it happensRetention personalisedVacancy costs avoided

Owner Report & Portfolio Insight Agent

Generates reports with written commentary — not just numbers

✦ AI capability: Interprets data and writes human-readable analysis

Reads portfolio data, understands what changed and why, and writes the owner report in plain English with commentary — so the owner gets context and understanding, not a spreadsheet they ignore.

HOW IT WORKS

  1. 1Agent pulls rent collected, maintenance costs, vacancy, upcoming lease events across the portfolio
  2. 2Interprets the data — 'maintenance spend up 40% this month due to the Remuera hot water system replacement'
  3. 3Writes plain-English commentary alongside the numbers — what happened, why, and what is coming
  4. 4Owner receives a report they actually read — not a spreadsheet they file without opening
Reports with real commentaryOwner actually informedPM relationship strengthened

Arrears Management Agent

Context-aware graduated follow-up with tribunal-ready documentation built in

✦ AI capability: Understands tenant context — applies the right escalation not a rigid script

Detects overdue rent, checks tenant history and circumstances, applies the right level of follow-up for this specific situation, and documents every step — so if it ever reaches a tribunal, the record is already complete.

HOW IT WORKS

  1. 1Rent is overdue — agent checks: first-time issue or a pattern? Is there a known hardship situation?
  2. 2Context-aware response — first-time gets a gentle reminder, repeat gets formal notice, hardship gets payment plan offer
  3. 3Every communication timestamped and logged — tribunal-ready documentation built automatically as a byproduct
  4. 4PM escalated only when legal action becomes necessary — with the full documented history already ready
Right escalation every timeTribunal-ready docs alwaysPM time protected

Enquiry Conversion Agent

Understands student intent, responds in context, nurtures through to enrolment

✦ AI capability: Personalises based on individual situation — not a generic sequence

Reads each enquiry, understands what the prospective student is actually looking for, and responds specifically to their situation — not a generic brochure. Follow-up cadence adapts based on how they engage.

HOW IT WORKS

  1. 1Enquiry received: 'I'm a registered nurse looking to move into health leadership — do you have anything suitable?'
  2. 2Agent understands the specific context — healthcare background, leadership goal, career transition
  3. 3Responds with relevant programmes, explains why they suit this situation, includes RPL pathway information
  4. 4Follow-up cadence adapts to engagement level — opens emails gets faster follow-up, no open triggers a different channel
Personalised not genericConversion rate increasesRPL opportunities not missed

At-Risk Student Intervention Agent

Reads multiple signals to understand why a student is at risk and what help they need

✦ AI capability: Reasons across signals — distinguishes disengagement from overwhelm

Reads attendance, grades, login frequency, submission timing, and communication tone together to understand why a student is at risk and what intervention will actually help — not just flag that something is wrong.

HOW IT WORKS

  1. 1Agent reads across: attendance dropped, late submission, no logins 5 days, stressed tone in last email
  2. 2Identifies: likely work and life pressure — not disengagement — different intervention needed
  3. 3Trainer receives briefing: 'this student appears overwhelmed — suggest a welfare call, not a warning email'
  4. 4Right intervention, right student, right time — completion rates improve
Multi-signal risk readingRight intervention typeCompletion rates improve

Compliance & Funding Report Agent

Prepares NZQA and funding reports, flags data quality issues before submission

✦ AI capability: Understands regulatory requirements — knows what will fail before it does

Prepares compliance and funding reports by pulling student data, understanding what each field actually requires, and flagging data quality issues before submission — not after the funding is rejected.

HOW IT WORKS

  1. 1NZQA report due — agent pulls enrolment, attendance, assessment, and completion data
  2. 2Understands what each field requires — regulatory intent, not just data formatting
  3. 3Flags: '3 students missing final assessment record, 1 enrolment date inconsistency will fail validation'
  4. 4Issues corrected before submission — funding secured, audit risk eliminated
Funding not rejectedData gaps caught pre-submissionAudit risk managed

Workplace Training & Evidence Agent

Assesses workplace evidence quality against unit standards, coordinates assessors when ready

✦ AI capability: Understands unit standard requirements — knows if evidence is sufficient

Reads submitted workplace evidence, understands whether it meets the unit standard requirements, identifies gaps, and coordinates assessor visits only when the student is genuinely ready.

HOW IT WORKS

  1. 1Student submits workplace evidence log compiled by their employer
  2. 2Agent reads the evidence, assesses against unit standard requirements — not just format checking
  3. 3Identifies gap: 'Unit 4 requires direct observation evidence — workplace log alone is not sufficient'
  4. 4Assessor visit scheduled when student is ready — all three parties coordinated automatically
Evidence quality assessedAssessor time used wellStudents complete faster

Real Result

Seen it work in the real world.

⛽ Distribution · GCO Fuels · New Zealand

GCO Fuels cut monthly invoicing from 10 days to 5 hours with AI-powered reconciliation.

"It has freed me up to focus on the business rather than be stuck in the business."

Rod Gabb

Managing Director · GCO Fuels

10 days

Monthly invoicing — before

5 hrs

Monthly invoicing — after AI

3

Supplier formats reconciled automatically

Ready to Add AI That Actually Works?

Book a discovery call. We'll show you exactly which agents would have the most impact in your specific business — with real examples from our implementations.

24

AI agents across 6 industries

10 days → 5 hrs

GCO Fuels — invoicing time

6

Industries with proven results