Context Acceleration Program² · by Playground Group

Everyone has an AI assistant now. Your processes haven't noticed.

Assistants make individuals faster at writing — they never touch the processes that actually cost money, because that work lives inside your systems, contracts and permissions. CAP is a senior delivery team and a reusable platform foundation that builds AI into those processes, one at a time: fixed price, in your environment, in production in months — measured against a business case you can put in front of the board.

Start with one process How It Works

01 — The Problem

AI adoption happened. Results didn't.

The licenses are rolled out, a policy is in place, a few pilots have run. A year later the question has gotten sharper — what did it actually change? No processing time dropped, no cost line moved, nothing shows up in the P&L.

Look inside your most expensive processes and the reason is plain. Most of the cost is not the decisions — it is the work before them: digging through SAP, reading contracts, checking policy, assembling the basis. That work has never been automatable. Too much judgment for RPA. Too deep in your systems and permissions for a general-purpose assistant.

That is what has changed. Built into the process — with the access, context and controls it needs — AI can now carry that work for the first time. Not beside your processes, inside them. That is what CAP does.

02 — How It Works

One process at a time. A foundation that compounds.

A three-week, fixed-fee discovery of one process — expensive, manual, or knowledge-heavy. Your process owner and IT contribute a few hours per week; we do the work. You get a process and systems map, a quantified business case, a solution design, and a fixed price for taking it to production. Then a clear go/no-go — and if you go, the discovery fee is credited in full against the delivery.

A senior team of AI and integration engineers connects the relevant systems, knowledge and permissions, and builds AI directly into the workflow — with human control points where they belong. Delivered to production in your environment, in months, and measured against the business case from the discovery.

Every delivery leaves the CAP foundation behind: connectors, context, access controls, governance. The second process is faster and cheaper than the first, the third more so — that compounding is the ² in CAP². The platform value grows out of real use cases; you never have to buy it up front.

03 — The Foundation

What CAP is made of

CAP is the architecture and components we bring to every delivery — hardened project over project. Not a boxed product you license, but a new layer in your stack: a deliberately thin one, built on your existing identity and systems. The ownership line is clean: the patterns and architecture are ours and improve with every delivery — everything built for you, from code and connectors to context and prompts, is yours alone and is never reused for anyone else.

Integration patterns for SAP, Microsoft 365, SharePoint, ServiceNow, Salesforce and internal APIs — built once, reused across every capability that touches the same system.

Your processes, business rules, documents and data modeled so AI can use them reliably — with answers traceable to their sources, not generated from thin air.

Maps your existing IAM to what every user and agent may see and do. The same question gets different answers for different people — by design.

Where capabilities execute: orchestration across systems, human approval steps for actions that matter, and defined fallbacks when the AI is uncertain.

Every action logged, every answer traceable, quality measured continuously against the business case — so trust is verified, not assumed.

04 — Use Cases

Where the manual work actually costs you

Four examples, one pattern: gather the basis, check the rules, prepare the decision. The same pattern runs through claims handling, permit processing, lease renewals, order provisioning and customs disputes — the industry varies, the work does not.

Every supplier renewal starts with half a day of digging — spend in SAP, terms in the contract archive, policy in someone's head. So reviews get skipped and renewals happen on old prices. With CAP in the process, the review is assembled in minutes: deviations flagged, next step proposed, sources shown, buyer approves.

Handling time is long not because answering is hard, but because agents search five systems before they can start. With CAP in the process, the customer picture is assembled and a grounded response drafted with sources — the agent reviews and sends. Fifteen minutes becomes four, across every case, every day.

Volumes grow, the team doesn't, and every case opens with twenty minutes of gathering the basis. With CAP in the process, requests are classified and reach the handler pre-prepared with a suggested decision. The human makes the call — throughput rises with the same team.

Your most senior people spend tender weeks hunting old references and CVs instead of doing billable work — and some RFPs go unanswered for lack of time. With CAP in the process, the RFP is broken into requirements, matched against verified material, gaps flagged and sections drafted. Seniors review instead of assembling.

See example scenarios

05 — Outcomes

What you get

Less manual work — repetitive coordination, lookup and preparation handled by AI, checked by people.
Shorter processing times — cases, requests and decisions stop waiting on information gathering.
Better decision quality — decisions made with the full picture from your systems, contracts and policies, with sources shown.
Knowledge that stays accessible — internal expertise available to everyone, not locked in individual experts and inboxes.
An answer for the board — a capability used daily in a real process, measured against a real business case. Not a license count, not a pilot.
A reusable foundation — every delivery leaves connectors, context and controls that make the next process cheaper and faster.

06 — Enterprise Requirements

Built for your environment, not around it

Everything is deployed in your cloud environment, on your identities and your architecture principles. Model calls go only to the AI providers you approve, under your data agreements — or to models hosted in your own environment.

Context comes with control. Every AI agent gets only the data and tools it is authorized to use — integrated with your existing IAM, with policies, audit trails and full traceability. Actions that matter require human approval.

Owned by you — concretely. The code, connectors, agent definitions, prompts and data are yours, deployed in your accounts, including the right to operate and extend them without us. After go-live you choose the operating model: your team runs it — with documentation, monitoring and runbooks handed over — or we stay on and operate it with you. And the capability survives a model switch: swap the model, keep the context, integrations and controls.

Delivered by a dedicated CAP team combining AI engineering, enterprise integration, security and process expertise — backed by Playground Group, a Stockholm-based technology group of 130 engineers and consultants.

07 — Get Started

Start with one process

Bring us the process that hurts — the one that is expensive, manual, or stuck waiting on a few overloaded experts. We will tell you whether AI can carry it: what it would take, what it would cost, and what it would be worth.

Three weeks after starting, you have a quantified business case, a solution design and a fixed price for production — a number that holds up in a board deck. The discovery fee is credited in full against the delivery, and if the case doesn't hold, we tell you so and you keep the analysis.

Start with one process

A Stockholm-based technology group of 130 engineers and consultants delivering cloud, software development, data and cybersecurity for organizations across the Nordics.

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