For enterprise leaders
The chat era is over. Your enterprise needs an agent strategy.
AI is shifting from chatbots to agents that use tools, process data, and execute real work. This audit tells you exactly where to focus — which systems to modernize, which workflows to automate, and how to budget for compute.
6
Dimensions scored
3-5
Use cases ranked
90
Day roadmap
1
Executive summary
What we're hearing from enterprises right now
These are the six challenges coming up in every conversation.
Experimentation phase is ending
Teams tried ChatGPT and Copilot. Some things stuck, most didn't. Now leadership wants targeted automation applied to specific workflows — but nobody has a unified plan.
Legacy systems block agents
Decades of on-prem or barely-modernized cloud systems. Agents can't tap into fragmented data sources, so companies are stuck figuring out what to modernize first.
Token budgets are brutal
OpEx budgets are locked for the year. Teams are running internal "shark tank" pitches for compute budget. Without a framework, money goes to the wrong use cases.
Change management is the bottleneck
Workflows aren't set up for agents. Some companies have a head of AI in every business unit reporting to a central team, just to stay coordinated.
New capacity, not job cuts
The real wins are things companies couldn't do before — processing document backlogs, automating back-office constraints, running deferred upgrades. Revenue over cost cuts.
Vendor lock-in fear is real
Companies need software that works across any set of agents. They'll drop vendors that don't make this easy. Multi-agent interoperability is non-negotiable.
The uncomfortable truth
Despite the hype that AI makes hard things easy, deploying agents in the enterprise is more technical than prior eras of software. Skills, MCP servers, CLIs, tool orchestration — simple concepts in tech, esoteric in the real world. The companies that figure out where to focus first will pull ahead. Everyone else will keep experimenting.
From scattered experiments to a focused plan
Without the audit
- Every team picks their own AI tools
- No framework for compute spend
- Legacy systems untouched
- Change management is ad-hoc
- Vendor decisions made under pressure
- Leadership gets slide decks, not plans
With the audit
- Ranked use cases by ROI and effort
- Compute budget framework with real numbers
- Systems modernization priority list
- Change management playbook per workflow
- Vendor-independent, multi-agent architecture
- Executive summary leadership can act on
What you get
Concrete deliverables, not a slide deck.
90-Minute Strategy Call
Engineer-led deep dive into your systems, workflows, and the specific places where agents can do work that wasn't possible before.
AI Readiness Scorecard
Scored across 6 dimensions — data infrastructure, interoperability, process maturity, team capability, vendor exposure, and compute readiness.
Opportunity Map
3-5 highest-ROI automation targets ranked by effort and impact — focused on revenue and capacity, not just cost cuts.
Systems Assessment
Which legacy and fragmented systems need modernization before agents can access your data in a unified way.
90-Day Roadmap
What to build, what to buy, what to skip — plus the change management structure to make each phase stick.
Executive Summary
A polished deliverable for leadership — with a compute budget framework grounded in real numbers.
How it works
Purchase
Secure checkout via Stripe. Confirmation email in minutes.
Today
Strategy Call
90-minute recorded session with our engineering team. Bring your stakeholders.
Within 5 days
Deliverables
Scorecard, opportunity map, systems assessment, roadmap, and executive summary.
7-10 days after call
Is this right for you?
Built for
- Moving from "let a thousand flowers bloom" to targeted automation
- Stuck between chat-era tools and real agent deployments
- Facing compute budget trade-offs with no allocation framework
- Legacy systems blocking agents from unified data access
- Need to coordinate AI efforts across business units
- Want an independent assessment, not a vendor pitch
Not the right fit
- Need implementation, not strategy — this is a roadmap, not a build
- Fewer than 50 employees with no existing enterprise systems
- Looking for a free consultation disguised as a paid product
Built by engineers who deploy agents for a living
Raintree Technology builds agent systems, integrations, and custom software for enterprises. We also ship our own products and open source tools — including agent frameworks, MCP servers, and CLI tooling. The same engineers who do this work every day lead your audit.
Questions
- What happens after I pay?
- Confirmation email immediately. Within 1 business day, we reach out to schedule your 90-minute strategy call.
- Who should be on the call?
- Whoever owns AI adoption — CTO, VP Eng, Head of AI. If someone coordinates across business units, include them. More context = better deliverables.
- How is this different from big consultancies?
- We're engineers who build and ship AI systems, not consultants who build slide decks. Grounded in what's technically real right now.
- What if we're not ready for agents?
- We'll tell you. If systems need modernization first, the report says exactly what needs to happen and in what order. Honest answers over upsells.
- Can this lead to a larger engagement?
- It can, but no obligation. The audit stands on its own. If it surfaces work Raintree can help with, we scope it separately — only if you want.
- What's the refund policy?
- Full refund anytime before the strategy call. After the call, deliverables are guaranteed — not satisfied with quality, we revise at no cost.
Stop experimenting. Start executing.
One payment. No subscription. A concrete plan for where agents fit in your enterprise — delivered in 10 business days.
Have questions first? hello@raintree.technology