Certified Anaplan consultants delivering implementation, optimisation and managed services. Senior practitioners who actually do the work - the consultants you meet are the ones who deliver.
The platform
Anaplan is a cloud-native planning platform built for enterprise-scale connected planning. It uses a proprietary calculation engine called Hyperblock that handles complex multi-dimensional models with real-time calculation across finance, sales, supply chain, and workforce planning.
That description is accurate. It's also what every Anaplan partner page says. Here's what matters more:
Anaplan is a blank canvas. It gives you an extraordinarily powerful modelling engine and says "build whatever you need." That flexibility is simultaneously its greatest strength and the reason roughly half of all Anaplan implementations underperform.
The platform doesn't come with pre-built financial models. There's no "click here for a three-statement model" button. What you get is a calculation engine that can handle multi-dimensional data at speeds that spreadsheets physically cannot match, an integration layer that connects to ERPs, CRMs, data warehouses, and BI tools through robust APIs, and a collaboration framework that lets hundreds of users contribute to plans without the version control nightmare of shared drives.
What you do with those capabilities depends entirely on the quality of the design and build. We've seen Anaplan instances that transformed how a business plans - and others that became expensive, under-used shelf-ware within 18 months. The difference is never the platform. It's always the implementation.
The problem it solves
Every finance team we've worked with has hit the same wall. The business grows, the planning model grows with it, and at some point the spreadsheet-based process starts failing in predictable ways.
The version control collapse. Budget_v3_FINAL_JD_comments_UPDATED.xlsx. Everyone recognises this. When your planning process involves distributing templates to 30 budget holders, collecting inputs via email, and manually consolidating them into a master model, errors are inevitable. Not because anyone is incompetent - because the process is fundamentally brittle. One broken link, one overwritten formula, one person working in the wrong version, and the numbers presented to the board contain errors that nobody can trace.
Anaplan eliminates this by design. There is one model, one version of the truth, one place where data lives. When a budget holder updates their departmental plan, the consolidated view updates in real time. No distribution, no collection, no reconciliation. The process that used to take two weeks of a finance team's life happens continuously.
The scenario analysis bottleneck. "What happens to cash flow if revenue drops 15%?" Reasonable question from a board member. In a spreadsheet world, answering it means manually adjusting assumptions across multiple tabs, checking that all downstream calculations still work, and hoping the model is robust enough to handle changes it wasn't designed for. It takes days. Sometimes a week.
In Anaplan, scenario modelling is structural. You define your drivers, your assumptions, and your calculation logic once. Then you create scenarios by changing assumptions. The platform recalculates everything instantly. You can model five scenarios before a board meeting and present them with confidence because the calculation logic is identical across all of them - only the assumptions change.
The connected planning gap. This is where Anaplan genuinely separates from most competitors. In a spreadsheet world, your financial plan, your workforce plan, your sales forecast, and your operational plan are separate files maintained by separate teams. They're reconciled manually, usually quarterly, usually painfully.
Anaplan's architecture was designed from the ground up for connected planning. Your revenue forecast feeds directly into your headcount plan. Your headcount plan feeds into your compensation model. Your compensation model feeds into your P&L. Changes propagate instantly across all connected models. When the sales team updates their pipeline forecast, the finance team can see the impact on cash flow in real time.
This isn't a theoretical capability. It's the reason companies like Mars, Procter & Gamble, and HP run their planning on Anaplan. When you're operating across dozens of entities, hundreds of cost centres, and multiple currencies, the ability to see how a change in one area ripples through the entire business is genuinely valuable.
The scalability ceiling. A 50MB Excel file with 200,000 rows of data will freeze, crash, or corrupt. It's not a question of if - it's when. As businesses grow, as granularity increases, as the number of planning dimensions expands, spreadsheets hit a physical ceiling.
Anaplan's Hyperblock engine was built to handle this. Multi-dimensional models with millions of cells calculate in seconds. Adding a new cost centre, a new product line, or a new geographic entity doesn't require rebuilding the model - you add it to the dimension and the platform handles the rest.
Under the hood
Understanding the architecture helps you make a better buying decision. Here's what happens beneath the interface.
The Hyperblock calculation engine. Traditional planning tools store data in flat tables and calculate sequentially. Anaplan uses a proprietary in-memory calculation engine that stores data in multi-dimensional blocks (Hyperblocks) and calculates in parallel. The practical effect: a model that takes 45 minutes to recalculate in Excel takes seconds in Anaplan.
This matters most for rolling forecasts and scenario planning. When recalculation is instant, your finance team stops batching their analysis into monthly cycles and starts running numbers as questions arise.
Multi-dimensional modelling. In Excel, if you want to see revenue by product, by region, by channel, by month, you build a pivot table or a series of lookup formulas. Add a fifth dimension and the complexity becomes unmanageable.
Anaplan handles this natively. You define your dimensions (time, versions, entities, products, channels, customers - whatever your business needs), and the platform lets you slice, filter, and aggregate across any combination. A model with 15 dimensions and millions of intersections is routine.
Integration architecture. Anaplan connects to external systems through its Integration API (REST-based), CloudWorks (pre-built connectors for Salesforce, Workday, NetSuite, SAP, and others), and flat file imports. The API-first architecture means that data flows can be automated end-to-end: your ERP pushes actuals into Anaplan nightly, your CRM pushes pipeline data in real time, and your BI tool pulls consolidated outputs for reporting.
The March 2025 release added a native Databricks connector, which is significant for companies building modern data architectures. It means Anaplan can serve as the planning layer on top of a Databricks lakehouse without custom ETL middleware.
User experience tiers. Anaplan serves different users differently. Model builders work in the Anaplan modelling environment, defining calculation logic, dimensions, and data flows. This requires training and Anaplan-specific skills. Planners interact through purpose-built dashboards and input forms - they see only what they need and input data through guided workflows. Consumers view reports, dashboards, and outputs without touching the model.
This tiered approach is important. The complexity lives in the build layer, not the user layer. A well-implemented Anaplan model feels simple to the 30 budget holders inputting their numbers, even though the underlying logic is handling currency translation, intercompany eliminations, and driver-based allocations behind the scenes.
AI and predictive capabilities. Anaplan has invested heavily in AI over the past two years. PlanIQ provides time-series forecasting using machine learning, trained on your historical data. Predictive Insights surfaces anomalies and patterns that manual analysis might miss. Role-based AI agents (launched 2025) provide natural language interaction for finance, sales, supply chain, and workforce planning. CoModeler generates model structures from business requirements in natural language.
Our honest assessment: the AI capabilities are genuinely useful for forecasting and anomaly detection. The natural language features are promising but still maturing. Don't buy Anaplan for AI - buy it for the planning engine, and treat AI as an accelerating bonus.
Making it work
Anaplan delivers its strongest ROI when the investment is matched to genuine complexity. Here's how to think about whether your organisation is ready.
Start with a focused use case. Companies that try to deploy Anaplan across every planning domain simultaneously often stretch their timeline and their team. The most successful mid-market deployments we've been involved with start with a single high-value use case - typically P&L planning or rolling forecasts - go live within 3-4 months, prove the value, and expand from there. Multi-domain connected planning across finance, sales, and operations is where Anaplan truly shines, but getting there in phases delivers better results than a big-bang approach.
Invest in internal capability. Anaplan's flexibility means your team gets a platform that adapts to your business, not the other way around. That flexibility is most valuable when someone on your side understands the platform well enough to maintain and evolve the models over time. This doesn't require a full-time Anaplan developer - a trained FP&A analyst or our Admin-as-a-Service offering both work. What matters is that the knowledge doesn't walk out the door when the implementation partner finishes.
Budget for the full picture. Anaplan is a premium platform and the investment reflects that. Licensing, implementation, training, and ongoing support should all be scoped upfront. Consultant day rates in the UK range from £800-1,500 depending on seniority, and a focused FP&A deployment typically starts from £50,000 for implementation. Companies that budget realistically from the start avoid the scope compromises that lead to underwhelming outcomes.
Governance from day one. The organisations that get the most from Anaplan treat model governance as a feature, not a burden. Naming conventions, change management processes, documentation standards, and testing protocols protect your investment as the platform scales. We build these into every engagement because we've seen how much value they preserve over time.
Implementation reality
We've seen both. Here's what determines which one you get.
Good implementations start with process, not software. The first question shouldn't be "what should our Anaplan model look like?" It should be "what decisions does our planning process need to support, and what's preventing that today?" Every successful build we've been involved with started by mapping the target operating model - what reports matter, what cadence works, what inputs are needed, who owns what - before anyone opened the Anaplan modelling environment.
Phased delivery beats big-bang. The implementations that deliver real value deploy a focused use case first (typically P&L planning or rolling forecasts), prove value with real users, and then extend to adjacent use cases. The ones that struggle try to build finance, workforce, sales, and operational planning simultaneously and launch 9 months later with an undertested model that nobody trusts.
Governance is not optional. Anaplan gives you enormous flexibility. Without naming conventions, change management processes, testing protocols, and documentation standards, that flexibility creates chaos. We enforce Centre of Excellence standards from day one - not because we enjoy bureaucracy, but because we've seen what happens without it.
Training determines long-term success. Your team needs to understand not just how to use the dashboards, but why the model works the way it does. When they hit an unexpected result, they need to be able to diagnose whether it's a data issue, a model logic issue, or a genuine business insight. We build alongside your team specifically for this reason - the consultants you meet are the ones who deliver, and knowledge transfer happens through working together, not through a training deck on the last day.
How we help
We're Anaplan consultants who actually do the work ourselves. Solution Architect, Model Builder, Master Anaplanner - we hold the certifications. But more importantly, we've used them on real projects. The person you meet is the person who delivers.
Already have Anaplan? We audit your current models for performance, usability, and best practices. Not sure if Anaplan is right? We map your requirements and recommend the platform that fits. Identify quick wins either way.
New Anaplan deployment. Discovery, design, build, test, train. Phased approach with early value delivery.
Add new use cases to your existing platform. Extend from FP&A to workforce, sales, or supply chain.
Ongoing model maintenance, user support, and continuous improvement. No need to hire a full-time model builder.
"We knew we weren't getting full value from Anaplan but didn't know where to start. Bolt's advisory work gave us a clear roadmap, and the implementation delivered immediate time savings. We're finally using the platform properly."
- FP&A Director, UK Digital Marketplace
Read full case study View all case studiesQuestions
What clients say
"We knew we weren't getting full value from Anaplan but didn't know where to start. Bolt's advisory work gave us a clear roadmap, and the implementation delivered immediate time savings. We're finally using the platform properly."
"We'd invested significantly in Anaplan but hadn't invested in the governance to manage it properly. Bolt helped us professionalise our approach. When issues arise now, we can resolve them in hours rather than days."
Our Bolt Blueprint assessment maps your current process, identifies what's broken, and recommends the right platform for your specific situation. Takes 2-3 weeks. Costs £5,000. No strings attached - if the answer is "fix your spreadsheets first," that's what we'll tell you.