An embedded AI operating partnership for Brazilian enterprise — built on the same thesis Anthropic, Blackstone, and Goldman just backed at $10B+ scale. We are building the Brazilian chapter.
Anthropic + Blackstone + Hellman & Friedman + Goldman Sachs formed a new enterprise AI services company — backed by General Atlantic, Apollo, GIC, and Sequoia — to embed Applied AI engineers inside mid-market companies.
"A typical engagement starts with a small team working closely with the customer to understand where Claude can have the biggest impact. Engineers build custom solutions tailored to each organization's operations."
FDE model validated at institutional scale · PE capital backing the category · Brazil: unclaimed. That's PRAGMA.What enterprises are missing is not more AI — it's a partner accountable for what happens after the contract is signed.
Which tasks exist. Which workflows run. What the company does every day. Before automation, we question whether the work should exist in its current form at all.
Humans → synthetic workers. BPO disruption. The most visible, most measurable line — a client can see this on a headcount report within 90 days.
The operating model. The governance. The data architecture. Building the capability infrastructure inside the client so the new workforce operates with new rules, new accountability, new speed.
Not efficiency. Not automation. Competitive position. EBIT. Market share. Work that used to cost R$2M now costs R$400K and creates structural advantage — a different category of outcome entirely.
PRAGMA operates at five scope levels — from a single task to the entire company. The architecture gives a visible progression the client understands before the first engagement is signed. The higher the level, the less the conversation is about cost — and the more it's about survival.
Strategic · Existential
Not something you sell — something you earn. PRAGMA functions as the client's internal AI operating function, with cross-client pattern recognition no internal team could have. Reached only after trust is built at every level below.
Competitive · Market position defended or captured
Individual process wins turn into organizational transformation. Multiple processes, multiple tasks, PEOPLE capability embedded. PRAGMA has enough context to run structured experiments against a production environment it understands deeply.
Resilience · Cost of dependency avoided
Not sequential — runs in parallel through TASK, PROCESS, BU, and COMPANY. Means the client can sustain what we built — and paradoxically, clients stay longer when they know they could run it themselves.
Throughput · Value of full workflow optimized
Once PRAGMA owns a task in production, adjacent tasks become visible — and the argument for expanding into the full process writes itself. The client has already seen the outcome. Now they want it across the workflow.
Efficiency · Cost of outsourced task replaced
Lowest friction entry. Clients only have to believe one task should run better. Fastest time to demonstrable outcome. Runs in production from day one — not a POC.
Every competitor picks one model. PRAGMA runs all three from the same underlying infrastructure — because the synthetic worker that runs inside a WORKFORCE contract is the same agent built into a client's INHOUSE capability.
Replace human BPO workers with synthetic workers. Charge per outcome — not per seat, not per hour. Per invoice processed, per contract reviewed, per ticket resolved. Margin scales with volume, not headcount.
Build the AI capability inside the client. They own it — but we built it, we trained their people, and our OS runs under it. Retainer model. Clients stay because they're invested, not because they're locked in.
PRAGMA embedded at company level — functioning as the client's internal AI operating function. Outcome-based fees, equity for transformational engagements, cross-portfolio pattern recognition nobody else has.
| Scope | WORKFORCE | INHOUSE | PARTNER | Pricing logic |
|---|---|---|---|---|
| TASK | ✓ Per unit | ✓ Retainer | ✓ | Cost of task replaced |
| PROCESS | ✓ Per flow | ✓ Retainer | ✓ | Value of full workflow |
| PEOPLE | — | ✓ Retainer | ✓ | Cost of dependency avoided |
| BU | — | ✓ Retainer | ✓ | Market position value |
| COMPANY | — | — | ✓ + Equity | Existential transformation |
The flywheel: WORKFORCE volume trains the agents used in INHOUSE contracts — which generates data making PARTNER experiments more powerful. The more BPO volume we run, the smarter our agents get. The smarter our agents, the stronger our INHOUSE proposition. The stronger that proposition, the more strategic our PARTNER relationships become.
Forward-deployed team embeds for 4–6 weeks. Maps operations, identifies 3–5 highest-leverage opportunities across all five scope levels. Delivers a production roadmap — not a slide deck.
Embedded engineers design, build, and ship AI systems into actual workflows. WORKFORCE agents, INHOUSE capability, or PARTNER-level transformation — the engagement shape follows the scope level.
Ongoing governance, agent monitoring, retraining, and scope expansion. Every quarter the OS learns more about your business. AI doesn't degrade — it compounds.
The R&D team has one job: compress time-to-capability. Watch everything in open source — LangGraph, CrewAI, AutoGen, LlamaIndex — absorb what works, wrap the best of it into proprietary operating systems deployed for every client. What takes a competitor 6 months to build, PRAGMA deploys in 3 weeks — because the OS already exists, with Brazilian compliance baked in, and connectors to SAP / TOTVS / Oracle already built.
Pre-built agent templates for high-frequency enterprise tasks. NF-e, SPED, REINF, TOTVS, SAP, Oracle connectors. LGPD compliance built in. Quality assurance loops — the agent grades its own output.
Multi-agent orchestration across dependent tasks. Handles handoffs, decision points, exceptions. Pre-built for fiscal reconciliation, procurement, compliance review, document intelligence.
The interface between synthetic workers and humans working alongside them. Escalation logic, judgment-call routing, feedback loops. Ensures the org sustains what PRAGMA built — without permanent dependency.
Cross-process orchestration, shared data architecture, BU-level dashboards and measurement. When multiple PROCESS OS deployments run inside the same BU, BU OS ties them into a coherent operating model.
Company-wide governance, data mesh, agent registry, performance architecture. Makes AI a core competency — not a project. Built on top of all four lower OS layers.
The compounding advantage: The 50th deployment of a fiscal reconciliation agent is materially smarter than the first — and no competitor has run 49 previous ones. Services firms have people. PRAGMA has IP that compounds independent of headcount.
Brazil's fiscal/tax infrastructure — NF-e, SPED, REINF, eSocial, LGPD — is the most complex in the world. Most outsourced, most intelligence-heavy, most auditable. A US-born AI company cannot replicate this knowledge without years of local investment. That's not a constraint. That's a moat.
~8,000 Brazilian companies in the R$500M–R$20B range. Zero dedicated FDE firms. Zero Claude Partner Network members covering LatAm mid-market. Zero equivalent of the Anthropic + Blackstone company operating natively in Portuguese with local regulatory depth.
2 anchor clients via fiscal/tax AI. TASK + PROCESS via WORKFORCE. DIAGNOSE → BUILD. Apply to Claude Partner Network. Hire first 2 FDEs.
First clients move TASK → PROCESS → PEOPLE. First PE fund as portfolio Operating Partner. 2 commercial partner agreements. PRAGMA Insights launches.
PRAGMA OS formalised. TASK OS + PROCESS OS in production. R&D team wrapping open source. Agribusiness AI discovery. Second PE fund.
OS compresses delivery cost. PARTNER-level clients. Series A: 'the Distyl AI of LatAm.' BU OS + COMPANY OS deployments. LatAm expansion via partners.
If your company is already investing in AI and has nothing to show for it in production — that's the problem PRAGMA exists to solve. Not with a new model. With a team embedded in your operations, accountable to your results, and an OS that gets smarter with every engagement.
Start with PRAGMA Diagnose →