AI consulting
AI consulting services that take AI from pilot to P&L
We help you pick the few AI use cases worth funding, build the agents that run them, and keep them accurate and governed after go-live.
AI consulting
We help you pick the few AI use cases worth funding, build the agents that run them, and keep them accurate and governed after go-live.
Platforms we build on
Need for AI consulting services
The models are rarely the problem. The wrong use case, a data estate built for reporting and no plan for running agents after launch usually are.
of agentic AI projects expected to be scrapped by the end of 2027, mostly over cost, unclear value or weak risk controls1
of enterprise software applications expected to include agentic AI by 2028, up from under 1% in 20241
of day-to-day work decisions expected to be made autonomously by agents by 20281
Source: 1. Gartner, agentic AI predictions, June 2025.
Our AI consulting services
The people who write your roadmap are the people who build it with FDEs driven approach, so nothing gets recommended that we couldn’t ship.
AI readiness assessment
We look at your data, platform, people and controls against the use cases you actually care about. You find out which ones can start next quarter and which need groundwork first.
Use case discovery and AI roadmap
We sit with your functional (commercial, finance and supply chain) leads along with technology experts, list where decisions are slow or expensive, and score each idea on value and feasibility.
Agent engineering
We design and build agents that read signals, recommend an action and carry it out inside your ERP, CRM or planning tool. Routine steps can run on their own. Anything material waits for a named approver.
App modernization
Agents can’t use what they can’t reach. We modernize legacy reports, planning models and line-of-business apps so they expose clean data, defined KPIs and APIs that agents and copilots can work with.
MigrationStudioInsight Studio →Data migration & modernization →
AgentOps
Agents drift. Data changes, models get upgraded, costs creep. We run your agents as a managed service: monitoring, evaluation, tuning, upgrades and a monthly review with the business owner.
AI governance
We set up who can build, approve and use AI, what data each agent may touch, and how risk is tiered by use case. Policies map to the frameworks you answer to, such as the EU AI Act and ISO/IEC 42001.
Not sure which of these fits?Talk to an AI consultant →
AI consulting by business function
Our consulting practice is organised around three functions. Each team brings the domain knowledge, the KPIs and the pre-built agents for its area, so the work starts on day one instead of month three.
For CCOs, revenue growth, sales and marketing leaders
Which promotions earn their money back, and which price move is worth answering?
Trade promotion ROI, pricing and elasticity, sales forecasting, field force targeting
Promotion uplift agent, competitor price war-gaming, next best action for reps
PromoPulse, PricePulse, HCPPulse, RGM Suite
Explore commercial excellence →For CFOs, controllers, treasury and audit leaders
Where is cash trapped, and which controls are failing right now rather than last quarter?
Working capital release, connected FP&A, procure-to-pay leakage, continuous controls
Early-pay discount finder, three-way match checker, control monitoring with a human gate
CapitalPulse, ProcurePulse, GRCPulse, Anaplan CoModeler
Explore financial excellence →For COOs, supply chain and S&OP leaders
Which SKUs will stock out next month, and what do we move today to stop it?
Demand sensing, inventory and replenishment, S&OP consensus, supply risk
Forecast bias alerts by SKU cluster, replenishment triggers, control tower exception handling
Supply Chain Control Tower, Anaplan forecasting, Foundation Studio
Explore supply chain excellence →How an AI consulting engagement runs
Data, platform, skills and controls checked against the use cases you care about.
Use cases scored on value and feasibility with the people who own the numbers.
A pilot on live data, with a go or no-go metric agreed before the build starts.
Agents wired into your systems, approval rules set, users trained.
Monitoring, tuning and governance, with a monthly value review.
Before anyone builds anything, you see where you stand and where AI will pay off first.
AI accelerators
Every engagement draws on 1Platform accelerators that already run in production. AI does the first draft. Our people own the result.
AgentStudio
50+pre-built agents for supply chain, finance and operations
Foundation Studio
80–90%of silver and gold layers pre-built
PulseSuite
9Agent-native business apps for commercial, finance and risk teams.
1Internal engineering target and test-bed result, 2026. Not an audited benchmark.
A 60-person forecasting team stopped hunting for data and started asking questions.
Leading consumer goods company
Generative AI forecasting assistant in Microsoft Teams
Read the case study →
Finance, commercial and supply teams now plan from the same numbers, and question them in plain language
Global alcoholic beverage GCC
Data, planning and GenAI backbone on Databricks and Anaplan
Read the case study →
Three teams, three data sources, one plan they all trust
Micro Labs GmbH, global pharmaceutical manufacturer
Connected demand and supply planning across 14+ plants
Read the case study →CDO roundtable series
A BODHI roundtable on taking AI from pilots to enterprise impact, with data leaders from Stride, Fetch Pet Insurance and John Cockerill Hydrogen. Hosted by Shiraz Mishra.
man-years of data engineering
of a typical engagement is repeatable, and productised in 1Platform accelerators
industry and technology accelerators
repeat business
Chosen from the workload, not a partner quota.
Our consultants build with you, so the plan is one your team can run.
Every agent has an approval rule. Nothing material happens without a named owner.
ISO 9001, ISO 27001 and SOC 2 Type II. Your code and data stay in your tenancy.
FAQ
Your data, platform, skills, governance and the use cases you have in mind. You get a score for each area and a short list of use cases you can start now.
We also build. The people who shape your roadmap use accelerators that already run in production, so the plan is one we can deliver.
Not always. The assessment tells you. Where the foundation is missing, Foundation Studio builds it in two to three months.
Every agent gets an approval policy. Routine steps can run, anything material waits for a named person, and every action is logged.
Databricks, Microsoft Fabric and Azure, Snowflake, Google Cloud, AWS and Anaplan. The use case decides, not a partner quota.
Share the decision you want to speed up. We’ll come back with what’s ready, what’s missing and where to start.
Senior Vice President
Chief Product Officer