Summarise yesterday's exceptions and route them.
Custom agent · in productionBrian Building Reports In AI Now · BioforumFDA reviewing the framework as an industry benchmark
AI Value FrameworkEvaluate gate. TCO and payback signed off before anything deploys.
Azure OpenAIRuns inside your tenant. Your data stays yours.
A business-case-led AI deployment programme on Azure OpenAI and Copilot Studio. Proven in production in FDA-regulated South African companies, not stuck in a pilot.
Copilot Studio
Azure OpenAI
Microsoft 365 Copilot
Azure AI Foundry
Most AI starts as scattered pilots. A chatbot here, a point tool there, none of them costed, none of them owned. They stall because they start with the tool, not the case. Braintree builds your AI on Microsoft Azure, runs every agent through the AI Value Framework, and deploys only where the TCO case is proven. The governance, the security and the business case signed off before anything goes live.
The platform Braintree builds on. Content safety, evaluations and a logged audit trail on every agent.
Build, publish and govern custom agents. Low-code, grounded on your data, inside your Microsoft tenant.
Frontier models run inside your Azure tenant. Your prompts and your data stay yours.
AI inside Outlook, Teams, Word and Excel. The tools your people already use every day.
Grounds every agent in your own documents and data. Answers with citations, not guesses.
AI is not one product. Agents show up across operations, service, sales, finance and knowledge work. Braintree deploys the ones with a proven business case through the AI Value Framework, and builds custom agents on Azure AI Foundry where Microsoft does not yet ship a named one.
Handles routine, repeatable tasks across your systems. People keep the judgement work. The agent takes the repetition.
Reads, extracts and routes information from incoming documents and forms. The data lands where it belongs without manual capture.
Drafts case responses grounded in your knowledge base. The agent answers. The human approves and sends.
Sits beside the human on the call. Surfaces answers from your knowledge base in real time. No hold music.
Microsoft ran this agent on its own pipeline. 61,734 outreaches, 15.1% lead-to-opportunity, January to November 2025. A Microsoft-published benchmark.
Briefs the seller on the account, the news and the stakeholders before the meeting. The seller walks in prepared.
Compiles and narrates management reports from your own data. The numbers and the commentary, drafted for review.
Matches records across systems and flags the exceptions. A human clears the short list, not the whole ledger.
Answers staff questions from your policy and process documents, with citations back to the source.
Built for the use cases Microsoft does not yet ship a named agent. SA-grounded. Production. POPIA-aligned. Custom agents enter through the AI Value Framework. Same business case discipline as the named agents above.
Four stages. Business case first. The full TCO modelled. Deployed only where the case proves out.
Map the operations and workflows across your business where agents carry the strongest TCO case.
Full TCO and payback model. Presented to management. Sign-off before any deployment.
Management sign-off gateMicrosoft and Azure AI agents, deployed only where the business case warrants them.
Custom domain agents on Azure AI Foundry where Microsoft does not yet ship a named one.
Braintree does not deploy AI agents by default. We deploy them where the TCO case is proven.
Some AI value is a named Microsoft agent switched on where the case is obvious. Some is a custom agent Braintree builds for a job Microsoft does not ship. Both run the AI Value Framework. Both are governed and audit-ready. The fork is the build, not the discipline.
Best when an off-the-shelf Microsoft agent already fits the job.
Best when the job is specific to your business and Microsoft does not ship a named agent.
Most AI starts as scattered pilots. A chatbot here, a point AI tool there, each with its own contract, its own data path and its own security review. Braintree puts your AI inside one Microsoft agreement, on Azure, governed once. One agreement, one security posture, one accountable partner.
Bioforum is a South African biometric clinical research organisation. FDA-regulated, 200 employees. Braintree delivered a secure AI framework on Microsoft Azure in two months, and the FDA is reviewing it as an industry benchmark. The team built "Brian", Building Reports In AI Now, on the same governed foundation.
The FDA is reviewing our AI framework as an industry benchmark. Braintree built it on Azure with the governance and audit trail in from day one.Jacques van der Merwe, Director of IT, Bioforum
AI Jumpstart with BraintreeThree specialists lead the AI Jumpstart practice. You talk to one of them, not an account manager, not a gate. Names land in your calendar invite when you book the scoping call.
8 questions, mapped against benchmarks from 220+ SA clients. You get a tier, above median, at median, or below median, and the actions to close the gap.
Your data, your systems, the workflows you would point an agent at, your security and compliance constraints. Five to ten minutes on your side.
Braintree returns a scoped AI opportunity map, the agent candidates and the AI Value Framework TCO view. Inside five business days.
Review the opportunity map, shortlist the agents, choose the fork, named or custom, and discuss the South African data residency answer. No sales pitch.
On Microsoft Azure South Africa North in Johannesburg, with three Availability Zones, or Microsoft Azure South Africa West in Cape Town. Your models, your prompts and the data they are grounded on run there. POPIA-aligned by default. The Information Regulator's 2026/27 priorities shifted from reactive complaints to proactive industry sweeps. The first direct-marketing fine of R100,000 was issued to FT Rams Consulting. The maximum penalty is R10 million or 10 years. A public AI cloud routes your data offshore. Braintree keeps it in South Africa.
Every agent Braintree builds carries content safety filters, a documented evaluation set and a logged trail of what it did and why. If a regulator, an auditor or your own board asks how the AI reached a decision, the record exists. Bioforum's AI environment, built by Braintree on Azure, is being reviewed by the FDA as an industry benchmark. Governance is built in from day one, not bolted on after an incident.
Most pilots stall because they start with the tool, not the business case. The AI Value Framework runs the other way. Stage 01 Discover maps where an agent would actually earn its keep. Stage 02 Evaluate models the full TCO and payback and puts a go or no-go gate in front of management. Nothing deploys until the case is signed off. The pilots that stall are the ones nobody costed. Braintree does not deploy AI agents by default. We deploy them where the TCO case is proven.
It depends on the job. Where Microsoft already ships a named agent that fits, you deploy it: Microsoft 365 Copilot and Copilot Studio agents, configured to your tenant. Where the job is specific to your business and Microsoft does not ship a named agent, Braintree builds a custom one on Azure AI Foundry, grounded on your own data and rules. Most businesses run both. The scoping call sorts which is which.
A named Microsoft agent, configured and governed, is usually live in weeks once the business case clears the Evaluate gate. A custom agent on Azure AI Foundry is scoped per use case, typically 4 to 12 weeks. Cost depends on the agents in scope and your Azure consumption. The 5-day scoped response after your call gives you the opportunity map and the TCO view before you commit to anything. Bioforum's full secure AI framework was delivered in two months.
No. Azure OpenAI runs the models inside your own Azure tenant. Your prompts and your data are not used to train the underlying models and are not shared with other customers. Custom agents on Azure AI Foundry are grounded on your data through retrieval, not by retraining a model on it. Your information stays your information. That is the difference between enterprise AI on Azure and a consumer AI tool.
Braintree. The agents and the data they use sit under one Microsoft Customer Agreement, with one accountable partner. 100+ Microsoft-certified specialists own the run-state: monitoring, evaluations, updates and the audit trail. A do-it-yourself pilot is owned by whoever built it, until they move on. AI in production needs an owner who is still there in a year.
Microsoft 365 Copilot is AI inside the tools your people already use. Modern Workplace is the licensing and adoption layer that makes it stick.
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An agent is only as useful as the systems it reaches into. A modern Dynamics 365 core gives your AI clean processes and data to act on.
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An agent is only as good as the data under it. Microsoft Fabric and Power BI give your AI a single, governed source of truth to reason over.
Visit Data & AnalyticsBook the 30-minute scoping call. We map where AI pays back in your business, model the TCO, and tell you what to build first. No pitch deck.
