Finance operations automation consultancy

Close faster. Report cleaner. Forecast with confidence.

We help lean finance teams automate the recurring work behind month-end close, management reporting, variance analysis, and executive dashboards — using governed data models, Power BI, SQL automation, and controlled AI agents. Built by a finance operator who has lived the close cycle, not a software vendor selling around it.

Built by a finance operator, not a software vendor.

Finance-native

Hands-on FP&A and accounting process experience — close cycles, ERP data, and recurring finance workflows from the inside.

Technical depth

Power BI, SQL, Excel, Python, and workflow automation — built, deployed, and maintained in production environments.

Executive reporting

Management reporting, margin analysis, and variance commentary prepared for and presented to leadership.

Controlled AI

AI applied only where it belongs — with human review, audit trails, and documented controls. No black boxes.

Documented handover

SOPs, data dictionaries, and training so your team owns the system after we leave. No dependency traps.

The problem

Your finance team is not slow. Your close runs on manual plumbing.

Enterprise planning platforms cost six figures and take a year to deploy. Excel models break the moment a controller leaves. Most finance teams are stuck in between — and it shows up the same way every month:

01Chasing files. The close starts with emails asking who has the latest export, and which tab is current.
02Version chaos. Budget_v7_FINAL_final.xlsx — every meeting starts by reconciling whose numbers are right.
03Dashboards nobody trusts. Power BI says one thing, the controller's workbook says another — so leadership defaults to the workbook.
04Variance analysis arrives late. By the time flux commentary is written, next month's decisions have already been made without it.
05Key-person risk. The most important reports depend on one person's workbook — and one person's memory.
06Compiling, not analyzing. Analysts spend their days assembling reports instead of explaining results.
07Late-cycle trust. The CFO and controller don't fully trust the numbers until the cycle is nearly over — which slows every decision downstream.
The flagship engagement

The 90-Day Close Sprint. Fixed scope, documented, measurable.

One focused engagement that maps your close and reporting cycle, automates the plumbing underneath it, and hands your team a documented, repeatable system. The target: a materially shorter close and reporting your leadership actually trusts.

How it's scoped

Diagnostic first. Then a fixed plan with named deliverables.

The sprint begins with a diagnostic of your close, reporting stack, and data flows. You get a written scope — what gets automated, what gets rebuilt, what gets documented — before any build work starts. No open-ended consulting meters.

Duration90 days
ScopeFixed and documented
TargetA close cut by up to half
HandoverFull knowledge transfer
What you get in 90 days
Deliverable 01

Close process map

A documented view of every close step: owners, systems, data sources, bottlenecks, and manual dependencies — the baseline everything else is measured against.

Deliverable 02

Governed reporting model

One version of truth behind dashboards, variance analysis, and leadership reporting. When Power BI and the workbook disagree today, this is what fixes it permanently.

Deliverable 03

Automated data pipelines

Scheduled workflows pulling from your ERP, Excel, CRM, bank files, or operational systems — replacing manual collection with pipelines that never miss a cell.

Deliverable 04

Power BI dashboard suite

Executive-ready dashboards for financial performance, close status, variance analysis, and exceptions — built on the governed model, so the numbers always tie out.

Deliverable 05

AI-assisted finance workflows

Controlled AI support for variance commentary drafts, anomaly detection, repetitive follow-ups, and narrative preparation — always with human review.

Deliverable 06

Documentation and handover

SOPs, data dictionary, ownership map, and team training. The system is yours — documented well enough that it outlives the engagement.

What we build

Real workflows we have automated for finance teams.

Not concepts — production systems. Each of these replaced hours of recurring manual work with pipelines and controlled automation your team can see, audit, and own.

Accounts payable

AP email triage and invoice extraction

An automated pipeline that parses incoming AP emails, extracts unstructured invoice data, and loads it directly into a centralized database — eliminating manual data entry from the invoice process.

PythonMicrosoft AzureCopilot StudioAzure OpenAISQL
Month-end close

VAT reconciliation and month-end accruals

Reconciliation frameworks that instantly surface reporting discrepancies — including automatically isolating and bridging exact variances between gross-of-VAT and net-of-VAT figures to accelerate the close.

SQL pipelinesReconciliation logicERP data extraction
Executive reporting

Executive margin analysis and financial reporting

Replaced manual spreadsheet compilation with a governed data model surfacing real-time margin analysis to leadership — including which customers and spending lines are lifting margin or driving its deterioration, down to detail level.

Power BISQLGoverned data models
Accounts receivable

Daily AR cash posting automation

Scheduled pipelines that match bank files against open receivables and prepare postings ready for the ERP — so the team starts the day analyzing cash flow instead of keying in receipts.

Copilot StudioPython on AzureSQLERP integration
Tax and compliance

Controlled tax determination agent

A strictly governed, AI-assisted workflow with human-in-the-loop validation that flags anomalies in tax coding and vendor compliance — ensuring clean data before month-end accruals are finalized.

Governed LLM agentsPythonRules-based logic
Close reporting

Fully automated month-end close reporting

The entire month-end reporting pack, automated end to end: every close report refreshes from the governed model in real time as sub-ledgers post — the compile step eliminated entirely.

SQLPower BIScheduled pipelines
System design · how the pieces fitRead → model → review
Sources
ERPExcelBank filesCRMOps systems
↓ scheduled extraction
Model
Governed SQL data model — one version of truth
↓ refreshes automatically
Outputs
Power BI dashboardsClose reportsAI commentary drafts
↓ nothing publishes itself
Control
Human review and sign-offAudit trail
Dashboard sample · margin analysisRefreshed from ERP
Gross margin
31.4%
▲ 0.8 pts vs plan
Close status
Day 4
On schedule
Open exceptions
3
▼ needs review
JanFebMarAprMayJunFcstFcst
Exception flagged: Customer #2412 margin down 4.1 pts — freight surcharge not passed through. Drill-down attached; commentary drafted for review.

Where we use AI — and where we don't.

We deploy AI only where it belongs: repetitive drafting, exception flagging, variance commentary, data chasing, and workflow follow-up — always with human review and documented controls. AI never posts to your ledger, never publishes a report, and never replaces your team's judgment. The goal is fewer hours compiling, not fewer analysts.

Step 1
AI drafts
Step 2
Analyst reviews
Step 3
Published, logged
How it works

Diagnose. Design. Build. Hand over.

A structured four-phase engagement designed to minimize disruption and land value early. No black boxes — you see every step, and your team learns the system as we build it.

Phase 01

Diagnose

Audit and discovery

We map your processes, systems, and data flows — finding the root causes behind reporting pain, not just the symptoms.

  • Process map
  • Pain-point heatmap
  • Opportunity assessment
Phase 02

Design

Blueprint and architecture

We architect the target state: data model, automation logic, reporting framework, and AI workflow specs with controls — tailored to your org's reality.

  • Target architecture
  • Governance plan
  • Fixed-scope roadmap
Phase 03

Build

Pipelines, dashboards, workflows

We build in short, visible sprints — pipelines first, dashboards next, AI workflows last — so value lands every two weeks, not at the end.

  • Automated pipelines
  • Power BI suite
  • Controlled AI workflows
Phase 04

Hand over

Documentation and ownership

We document everything, train your team, and stay through two full close cycles — until the system runs reliably in your hands, not ours.

  • SOPs and data dictionary
  • Ownership map
  • Two-cycle support
Who it's for

Best fit: lean finance teams doing heavy lifting by hand.

  • Lean finance and accounting teams carrying an outsized reporting load
  • Heavy Excel dependency and heavily manual recurring processes
  • ERP data in place, but reporting on top of it is a struggle
  • Close cycles that run longer than leadership can afford to wait
  • Leadership wants dashboards but doesn't fully trust the data behind them
  • Analysts spending more time compiling reports than explaining results
Where this lands hardest
ManufacturingAerospace and defenseIndustrial productsDistributionInventory-heavy businessesMulti-site operations

Especially useful for manufacturing, aerospace, distribution, and industrial companies — where ERP data, inventory, margin, purchasing, and operational reporting do not naturally line up, and someone has to make them.

Drawing the line

What we do not do.

Half of trust is knowing what someone won't sell you.

  • No dashboards on dirty data. We do not sell generic dashboards without fixing the data underneath them first.
  • No black-box AI. We do not drop in AI tools without human review, audit trails, and documented controls.
  • No consultant-only systems. We do not leave behind undocumented workflows that only the consultant understands.
  • No forced platform migrations. We do not push a six-figure planning platform when your current stack can be made reliable first.
  • No advice without implementation. We do not hand over a slide deck and leave the build to you.
Why Infivera

Finance-native design. Real implementation. Documented handover.

Finance teams are drowning in data assembly while starving for insight. The technology to fix this exists — but most consultancies deliver tools without context, or advice without implementation.

We do both: FP&A and accounting workflow expertise, combined with modern data engineering and controlled AI, delivered by someone who has built the reporting model and presented it to leadership. We stay until the system is real, measurable, and owned by your team.

  • a. Finance-native

    We speak FP&A and accounting, not just tech. Close cycles, ERP data, accruals, and variance analysis from the inside.

  • b. Implementation, not slideware

    Pipelines, models, dashboards, and workflows that run in production — built alongside your team, in your environment.

  • c. Controls first

    Human review, audit trails, and governance designed in from day one — automation your auditors can live with.

  • d. Ownership transferred

    SOPs, data dictionary, training, and two-cycle support. Success is measured when the system runs without us.

Start here

Book a finance automation diagnostic.

A 30-minute working session, not a sales pitch. Walk us through your close and reporting stack; we'll tell you honestly where the biggest automation wins are, roughly what they're worth in hours, and whether we're the right team to capture them.

Format30-minute video call
CostFree, no obligation
BringYour close calendar and pain list
You leave withA ranked automation shortlist
Book a finance automation diagnostic →