For CFOs & finance teams
Akyla unifies your ERP, Excel, Salesforce, and market data into one trusted source of truth — then builds the AI that automates reporting, sharpens margin and pricing, and closes the gap between your data and your decisions.
From real engagements. Client names under NDA.
Where we go to work
Not a generic dashboard. Specific, high-leverage workflows where unified data and AI move the numbers that land in your board pack.
Challenge
The month-end close runs on a maze of linked spreadsheets, and forecasts are stale the moment they're built.
What we build
We unify actuals across your ERP, banks, and source systems, then automate variance analysis, rolling forecasts, and board packs — so your team spends its time on judgment, not reconciliation.
Challenge
Cost and revenue data sit in different systems, so margin leakage and pricing opportunities stay invisible until quarter-end.
What we build
AI on top of unified cost, revenue, and customer data surfaces where margin is leaking and where pricing has room — at the SKU, customer, and contract level, continuously.
Challenge
Leadership asks 'why did opex rise in Q3?' and it takes an analyst half a day to assemble the answer.
What we build
Self-updating management reports, plus a private LLM your finance team can simply ask — in plain English, with every figure cited back to the source ledger.
Challenge
Internal financials and external market, rate, and alt-data never live in the same place, so risk and treasury decisions run on partial pictures.
What we build
We fuse your internal financial data with external market and risk feeds into one model — giving treasury, risk, and investment teams a single, current view to decide from.
Proof
We're measured by margin, not dashboards. Here's what that looks like across three industries. Client names under NDA.
Case Study
Pricing automation for a Fortune 500 manufacturer
Challenge
Inconsistent pricing models and legacy data architectures made it nearly impossible to identify the right price and margin per customer.
Solution
Migrated and consolidated millions of records from legacy systems into a unified SQL database, then layered automated pricing and gross-margin analytics on top.
Case Study
Sales & pricing automation for a NASDAQ-listed security company
Challenge
Pricing data was manually sourced from Salesforce, Excel, and SQL databases — slowing execution, introducing errors, and blocking margin analysis.
Solution
Built an automated pricing system that unified disparate data into a single source of truth and generated accurate product-level margin insights based on customer.
Case Study
Guest data unification for an international hotel group
Challenge
Property data was not standardized, making it difficult for marketing and guest-experience teams to deliver a seamless, personalized guest experience.
Solution
Deployed cloud and on-prem servers running custom data cleaning logic, leveraged private LLMs for guest enrichment, and consolidated everything into one SQL database.
How we work
One repeatable wedge, applied across industries from food ingredients to hospitality to security technology.
We map your data sprawl — every Excel workbook, SQL table, Salesforce object, and on-prem system that touches the workflow you care about.
We connect your systems and automate the workflows your team currently runs by hand — pricing engines, margin analytics, customer models, private LLMs, and more.
We measure success in dollars saved, hours reclaimed, and customers identified — not slides. And we keep iterating until the ROI compounds.
Next step
30 minutes. No slides. We'll help identify the highest-leverage AI workflows.
Typical engagements start with a fixed-price discovery sprint.