Reconciliations by hand
Matching records between systems in spreadsheets, every month, and still not being sure every transaction made it across.
Month-end shouldn't mean days of reconciling spreadsheets and asking "does this match?". We automate the reconciliation, clean up the data underneath, and put practical AI to work inside the systems you already own. No new platform to buy.
Most finance teams already have capable software. The time goes on the work in between: moving, checking and re-checking data by hand.
Matching records between systems in spreadsheets, every month, and still not being sure every transaction made it across.
Critical numbers live in files only one person understands. One broken formula and the board pack is wrong.
Different dashboards give different answers, so every meeting starts with a debate about whose number is right.
Personal and financial records held past their retention period are a privacy and compliance risk, and manual clean-up is hard to prove.
Policies, procedures and past advice spread across SharePoint, inboxes and help desks. Finding the right answer takes too long.
You've tried AI tools, but the answers can't be trusted because the data underneath isn't clean, governed or connected.
Not a chatbot bolted on top. Reliable data foundations first, then automation and AI where they genuinely save time, with your team in control of the decisions.
Source-to-target checks run automatically, so your team reviews only the exceptions instead of ticking every line. The same approach delivered 99.9% data integrity and auditability for MetLife.
Governed data models feeding Power BI, with agreed definitions and automated quality checks, so reports match and stakeholders stop arguing about the figures.
Sensitive data classified, masked or de-identified, and records disposed of on schedule with audit-ready reporting, as we built for The Smith Family.
Bring policies, procedures and knowledge base articles into one searchable, AI-ready environment, so staff find answers in seconds instead of hunting across systems.
AI-assisted profiling and mapping of new client or entity data files with Noviq, with a person reviewing every recommendation before anything is built.
Move ageing on-premise databases to the cloud with every object converted, validated and reconciled, so nothing goes missing on the way.
If you are responsible for financial data being right, on time and defensible, this is for you.
No sales deck marathon. A practical conversation with the people who would actually do the work.
Pick a time on our calendar and add a line about the process that's costing your team the most time.
We look at your systems, data and workflows together and identify where automation and AI will actually save time, and where they won't.
You receive a short summary and a recommended starting point. If we're a fit, we propose a scoped project that fits your budget.
In one conversation you'll get:
We don't sell software licences, so our only incentive is solving the problem.
Trust in numbers, compliance with retention rules and searchable knowledge: we've delivered each of these for organisations where getting it wrong was not an option.
He developed a Data Quality Framework, a scalable and flexible solution that automated data validation, integrity checks, and business rule enforcement, significantly reducing manual effort and improving reliability.
Srilata Nutakki, MetLifeThese engagements were with an insurer, a long service leave fund and a not-for-profit rather than accounting practices. The data problems are the same ones finance teams face every month. Read the case studies →
Neeraj 'Rohan' Choraria · Founder & Principal Architect
16+ years of hands-on data engineering across financial services, insurance, government and retail, combining Big Four delivery standards from Deloitte with deep engineering execution in reconciliation, data quality, privacy and AI-assisted data engineering.
"I've spent 16 years seeing the same data problems appear in different organisations. The technology changes. The problems don't."
Google Cloud Professional Cloud Architect · Snowflake SnowPro Core · Microsoft Azure Data Analyst Associate · Google Cloud Partner · Snowflake Registered Partner · Anthropic Claude Partner Network (Registered tier)
No. We work with the systems you already run and the cloud platform you already pay for. We don't sell licences, so there's no reason for us to push new software.
Yes. The call is free and there's no obligation to engage us afterwards.
Yes. Many of the biggest time savings come from automating one or two repetitive processes. We'll tell you honestly on the call whether the effort is worth it for your size.
Solutions are built inside your own environment, so data stays under your controls and access policies. Please don't share client data or credentials on the booking form or the discovery call.
Not without a person checking. We design AI to recommend and automate the repetitive work, with your team reviewing and approving the decisions that matter.
We send a short summary and a recommended next step. If it makes sense to work together, we propose a fixed-scope project, a specialist squad or embedded specialists.
We'll show you how to automate it using the systems you already own.