Finance teams sit on more AI-ready work than almost any other function in the business.
We build the AI workspace that captures it. ERP-connected workflows for board packs, variance analysis, reconciliations, and scenario modelling, with your team trained to run them.
Saqr Solutions is the AI implementation arm of Saqr Academy, the KHDA-approved applied AI institute in Dubai Media City.
The shift
Finance is a strong starting point for AI because the work already has structure. Reporting calendars, chart of accounts, reconciliations, contracts, forecasts, board packs. The inputs are known. The outputs are familiar. The pressure is constant.
What has changed is the tooling. Modern AI workspaces hold templates, prompt libraries, reporting context, and approved workflows in one place. Agentic workflows handle first-pass analysis, exception checks, and draft commentary before the team reviews.
The opportunity is not to replace finance judgment. It's to remove the repeat work around it.
What's missing in most finance teams isn't access to AI. It's the system that turns access into actual workflow change. A workspace the team uses every day. Templates and prompts that fit your reporting calendar. Training that goes beyond the demo and into how the work actually runs.
What we build
An AI workspace configured for your finance function, with the agentic workflows your team needs most.
Plus the training to make all of it operational. Three to four sessions with the team, run on real work, not toy examples.
Where finance teams usually start
- 01
Board pack and management reporting.
An assistant trained on your historical packs and chart of accounts that drafts variance commentary, surfaces anomalies, and accelerates the monthly close.
- 02
Reconciliation and exception handling.
An agent over your ERP that flags exceptions, proposes resolutions, and routes the genuinely difficult ones to a human.
- 03
Contract and document review.
A workspace at the legal-finance interface that reviews vendor contracts, lease agreements, and invoices against pre-agreed criteria.
- 04
FP&A scenario modelling.
A scenario assistant for budget and forecast cycles that runs sensitivity analysis your team can interrogate, not just consume.
What's included
A diagnostic of your current finance workflows, reporting calendar, and tech stack.
The AI workspace set up inside your environment, with role-based access for the right people.
A library of prompts, templates, and agentic workflows tailored to your reporting and analysis cycles.
Integration with the source systems where it matters most: ERP (SAP, Oracle, Microsoft Dynamics, NetSuite, Sage), document repositories, BI tools.
Training sessions for the finance team, with a separate session for finance leadership, drawn from Saqr Academy's AI for Finance & Advisory program.
A documented playbook your team owns, written for finance professionals, not engineers.
How the engagement runs
- 01
Weeks 1 to 2
Discovery and design.
We sit with the finance leadership and the team, map the current workflows, and design the workspace and agent architecture around how you actually run finance.
- 02
Weeks 3 to 6
Build and integrate.
Workspace stood up. Prompts and templates loaded. Agent workflows tested against your real data. Source systems connected.
- 03
Weeks 6 to 8
Train and embed.
Your team works inside the system on real reporting cycles, with us in the room. By the end, they're running it.
- Next
After launch.
Many engagements continue as an ongoing Fractional Chief AI Officer arrangement, extending the workspace into adjacent functions, sharpening workflows as your reporting calendar evolves, and holding AI strategy at the executive level.
Who this is for
Finance teams of 10 to 100 people inside mid-large GCC organisations. Banks, insurance, family-owned groups with shared services, real estate developers, large retail and consumer goods, mid-market healthcare and hospitality.
You'll get the most value if your finance leadership is ready to change how routine work gets done, and you have at least one team member who's curious about AI and willing to be the internal champion.
What makes this different
- 01
We understand finance workflows, not just AI tooling.
The patterns we deploy come from real finance work, not theoretical use cases. We work bilingually across Arabic and English reporting environments, which matters for GCC family groups and regional banks.
- 02
The system connects to the rest of your stack.
We don't deliver a sandbox that lives separately from the real work.
- 03
Training built on KHDA-approved curriculum.
The training inside the engagement runs on the same curriculum that powers Saqr Academy's AI for Finance & Advisory program, delivered to PE, advisory, and corporate finance teams across the GCC.
Frequently asked questions
An AI workspace is a shared environment where your team's AI tools, prompts, templates, and integrations live in one place. Instead of every analyst running their own ChatGPT tab, the workspace holds the team's institutional context: your chart of accounts, your reporting templates, your prompt libraries, your historical board packs. New analysts get access to the team's accumulated AI knowledge instantly. Senior analysts stop reinventing the same prompts every quarter.
No. The system sits alongside your ERP and works with it. We integrate with SAP, Oracle, Microsoft Dynamics, NetSuite, Sage, and most regional ERP systems. The ERP remains the system of record. The AI workspace handles the analytical, reporting, and exception-handling layer that ERPs were not designed for.
We integrate at the API or data warehouse layer, depending on the architecture. For SAP, that's typically through SAP BTP or a separate data layer. For Oracle Fusion, it's through Oracle Cloud APIs. For Microsoft Dynamics 365, it's through Power Platform connectors. The exact integration is decided in discovery based on what's already in place.
Data residency is mapped in week one. We deploy in your existing cloud environment (Azure, AWS, Google Cloud, or sovereign cloud where required) with role-based access controls aligned to your existing identity systems. No data leaves your environment unless you explicitly authorise it, and even then, only through documented APIs to approved AI providers.
Yes. The workspace handles bilingual reporting, bilingual chart of accounts, and the reporting standards used across the GCC. This matters for family-owned groups, regional banks, and any business reporting to both English-speaking executives and Arabic-speaking boards.
Excel Copilot and Power BI's AI features are useful for individual analysts on individual tasks. The AI Finance System is the layer above: a workspace that holds your team's collective AI work, an agent layer that runs routine processes overnight, and integration with the systems that hold your data. You can use both. We often deploy alongside Microsoft 365 environments.
The engagement is sized for finance teams of 10 to 100 people. Below 10, the productisation cost is harder to justify against the leverage gain. If you're under 10 people but the team is doing significant work, we'd suggest starting with our AI for Finance & Advisory training programs at Saqr Academy first, then engaging Solutions when the team has grown.
Yes. Every prompt, every output, and every system action is logged with timestamps and user attribution. The audit trail is exportable in formats your external auditors can use. This matters for regulated finance functions and for any team where the AI's outputs feed into financial reporting.
Tell us what your finance team is spending too much time on.
Send us a short note about the situation. We'll read it, get back to you within two business days, and arrange a call to talk through it.