AI is only as good as what it knows about you
Thinkwell is the context engineering layer for your business. We configure the right knowledge, guardrails, and examples into every AI workflow, for your people today and your agents tomorrow.
Thinkwell
Built and backed by
leaders from:
Built and backed by
leaders from:
Built and backed by
leaders from:
Who we are
Context is everything.
Your AI knows nothing about you or your business.
We work inside the tools your team already uses and configure them with what matters: how your company works, how each team operates, what good looks like, and what data stays out.
71%
Reduction in AI errors with properly structured context
2x
Better output quality with engineered context
30 days
For each team to see clearly defined results
Who we are
Context is everything.
Your AI knows nothing about you or your business.
We work inside the tools your team already uses and configure them with what matters: how your company works, how each team operates, what good looks like, and what data stays out.
71%
Reduction in AI errors with properly structured context
2x
Better output quality with engineered context
30 days
For each team to see clearly defined results
Who We Are
Context is everything.
Your AI knows nothing about you or your business.
We work inside the tools your team already uses and configure them with what matters: how your company works, how each team operates, what good looks like, and what data stays out.
71%
Reduction in AI errors with properly structured context
2x
Better output quality with engineered context
30 days
For each team to see clearly defined results
How we work
From kickoff to results in 30 days.
No six-month strategy project. No platform to buy. We embed with one team, work inside their existing AI tools, and build the context layer that makes everything work better.
01
Audit
Week 1
We sit with your team and map every workflow. What are they pasting in? What context is missing? What sensitive data is going somewhere it shouldn't? That's how we find the real opportunities.
01
Discovery
Week 1
We sit with your team and map every workflow. What are they pasting in? What context is missing? What sensitive data is going somewhere it shouldn't? That's how we find the real opportunities.
02
Build
Week 2-4
We build purpose-configured workspaces inside your existing AI tools. System prompts, reference docs, examples of good work, guardrails. Each one scoped to only the data that task requires. Then we train your people until it's second nature.
03
Maintain
Week 4+
Same tasks, same people, new setup. We measure output quality, time saved, and error reduction before and after. You get the numbers, the playbooks, and a clear roadmap for what's next. We stay on to keep everything up to date.
What you get
Measurable AI performance gains
Specific to your team
A hands-on program built around your team's actual work, with numbers to prove it moved the needle.
01
Audit of every AI workflow your team runs
02
Customized workspaces inside existing AI tools
03
Playbooks with prompts, examples, and guardrails
04
Each workspace scoped to minimum necessary data
05
Before-and-after measurements on real work
06
Training so your team runs it all independently
07
Ongoing tuning as models and your business change
08
Executive reporting with clear ROI metrics
What you get
Measurable AI performance gains
Specific to your team
A hands-on program built around your team's actual work, with numbers to prove it moved the needle.
01
Audit of every AI workflow your team runs
02
Customized workspaces inside existing AI tools
03
Playbooks with prompts, examples, and guardrails
04
Each workspace scoped to minimum necessary data
05
Before-and-after measurements on real work
06
Training so your team runs it all independently
07
Ongoing tuning as models and your business change
08
Executive reporting with clear ROI metrics
What you get
Measurable AI performance gains
Specific to your team
A hands-on program built around your team's actual work, with numbers to prove it moved the needle.
01
Audit of every AI workflow your team runs
02
Customized workspaces inside existing AI tools
03
Playbooks with prompts, examples, and guardrails
04
Each workspace scoped to minimum necessary data
05
Before-and-after measurements on real work
06
Training so your team runs it all independently
07
Ongoing tuning as models and your business change
08
Executive reporting with clear ROI metrics
What we are
AI-enabled service delivery
We use our own AI tools to do what would normally take a traditional consultancy months. Workflow mapping, opportunity analysis, custom integrations. It's how a small team delivers big results in 30 days, not six months.
Everything runs on enterprise-grade infrastructure with end-to-end encryption. Your data never leaves your environment, and we work within your existing security and compliance policies. No new tools to vet, no new risk to manage.
30
Days
From kickoff to first results
30-40%
Faster
Measured productivity gains
Why choose us
Helping you close the gap between
access and adoption
Helping you close the gap between access and adoption
Your teams have access to AI. What they don't have is someone who'll sit down and show them how it changes their specific work. That's us.
Inconsistent outputs
Distributed context
Minimal data governance
Status quo
The licenses are paid for. But every person prompts differently, the outputs are unreliable, and nobody knows what data is going where.
Measurable results
Minimum necessary data
Curated context
Thinkwell
We work inside your team's existing AI tools and configure them with the right knowledge for each task. Reliable quality across every person and workflow.
FAQ
Your questions answered.
Everything you need to know about working with us. Still have questions? Book a free call and we'll walk you through it.
What makes Thinkwell different from other AI consultancies?
Most AI consultancies either build custom software or run generic training workshops. We do neither. We work inside the AI tools your team already uses, backed by our own proprietary tooling that lets us audit, configure, and measure faster than a traditional consultancy could. No new platforms to buy, no six-month builds. Just your existing tools, working dramatically better in 30 days.
What do you mean by "context engineering"?
Every AI tool gives better answers when it has the right background information. Context engineering is the practice of configuring exactly what knowledge, examples, standards, and guardrails your AI sees for each task. It's the difference between an AI that knows nothing about your company and one that works like it's been here for years.
Who are you?
Our team comes from Bain, Palantir, MIT, and the venture capital industry. We've spent our careers at the intersection of enterprise technology, AI, and helping large organizations adopt what's next. We're building Thinkwell alongside a group of former CIOs with experience from places like McAfee, UKG, Mimecast, Zuora, HP, and MGM who pressure-test everything we do against real enterprise needs. We're backed by 8VC, founded by Palantir co-founder Joe Lonsdale, whose portfolio includes Anduril, Flexport, and Guardant Health. They back companies that solve hard operational problems for large organizations. That's exactly what we do.
What do you need from us, and what about data security?
Very little of your team's time. We need a few hours of access to understand how your current AI tools are set up, then we do the work. You don't need to buy anything new or switch platforms. On security, every workspace we configure follows a minimum-necessary-data principle. If a task only needs your product catalog and style guide, that's all the AI sees. We work within your existing security policies and give you a clear map of what data goes where.
What do I actually get, and how long does it take?
30 days for the first team. You get configured AI workspaces for each use case, context playbooks with system prompts and reference docs, before-and-after performance data, and a data governance map showing what context each workflow uses. After that, most clients move to a monthly retainer where we keep everything tuned as models change, your business evolves, and new use cases come up.
FAQ
Your questions answered.
Everything you need to know about working with us. Still have questions? Book a free call and we'll walk you through it.
What makes Thinkwell different from other AI consultancies?
Most AI consultancies either build custom software or run generic training workshops. We do neither. We work inside the AI tools your team already uses, backed by our own proprietary tooling that lets us audit, configure, and measure faster than a traditional consultancy could. No new platforms to buy, no six-month builds. Just your existing tools, working dramatically better in 30 days.
What do you mean by "context engineering"?
Every AI tool gives better answers when it has the right background information. Context engineering is the practice of configuring exactly what knowledge, examples, standards, and guardrails your AI sees for each task. It's the difference between an AI that knows nothing about your company and one that works like it's been here for years.
Who are you?
Our team comes from Bain, Palantir, MIT, and the venture capital industry. We've spent our careers at the intersection of enterprise technology, AI, and helping large organizations adopt what's next. We're building Thinkwell alongside a group of former CIOs with experience from places like McAfee, UKG, Mimecast, Zuora, HP, and MGM who pressure-test everything we do against real enterprise needs. We're backed by 8VC, founded by Palantir co-founder Joe Lonsdale, whose portfolio includes Anduril, Flexport, and Guardant Health. They back companies that solve hard operational problems for large organizations. That's exactly what we do.
What do you need from us, and what about data security?
Very little of your team's time. We need a few hours of access to understand how your current AI tools are set up, then we do the work. You don't need to buy anything new or switch platforms. On security, every workspace we configure follows a minimum-necessary-data principle. If a task only needs your product catalog and style guide, that's all the AI sees. We work within your existing security policies and give you a clear map of what data goes where.
What do I actually get, and how long does it take?
30 days for the first team. You get configured AI workspaces for each use case, context playbooks with system prompts and reference docs, before-and-after performance data, and a data governance map showing what context each workflow uses. After that, most clients move to a monthly retainer where we keep everything tuned as models change, your business evolves, and new use cases come up.
FAQ
Your questions answered.
Everything you need to know about working with us. Still have questions? Book a free call and we'll walk you through it.
What makes Thinkwell different from other AI consultancies?
Most AI consultancies either build custom software or run generic training workshops. We do neither. We work inside the AI tools your team already uses, backed by our own proprietary tooling that lets us audit, configure, and measure faster than a traditional consultancy could. No new platforms to buy, no six-month builds. Just your existing tools, working dramatically better in 30 days.
What do you mean by "context engineering"?
Every AI tool gives better answers when it has the right background information. Context engineering is the practice of configuring exactly what knowledge, examples, standards, and guardrails your AI sees for each task. It's the difference between an AI that knows nothing about your company and one that works like it's been here for years.
Who are you?
Our team comes from Bain, Palantir, MIT, and the venture capital industry. We've spent our careers at the intersection of enterprise technology, AI, and helping large organizations adopt what's next. We're building Thinkwell alongside a group of former CIOs with experience from places like McAfee, UKG, Mimecast, Zuora, HP, and MGM who pressure-test everything we do against real enterprise needs. We're backed by 8VC, founded by Palantir co-founder Joe Lonsdale, whose portfolio includes Anduril, Flexport, and Guardant Health. They back companies that solve hard operational problems for large organizations. That's exactly what we do.
What do you need from us, and what about data security?
Very little of your team's time. We need a few hours of access to understand how your current AI tools are set up, then we do the work. You don't need to buy anything new or switch platforms. On security, every workspace we configure follows a minimum-necessary-data principle. If a task only needs your product catalog and style guide, that's all the AI sees. We work within your existing security policies and give you a clear map of what data goes where.
What do I actually get, and how long does it take?
30 days for the first team. You get configured AI workspaces for each use case, context playbooks with system prompts and reference docs, before-and-after performance data, and a data governance map showing what context each workflow uses. After that, most clients move to a monthly retainer where we keep everything tuned as models change, your business evolves, and new use cases come up.