The AI for consulting firms
One consulting firm cut operating costs 75% with its own AI.
Yours could be next. Live in 4 weeks — or we keep working free.
A private AI that knows your methodology, writes in your firm's voice, and hands you drafts ready for your review — with your clients' data always under your control. Your partners' judgment, available to everyone on the team.
What you get
Your own AI platform
Private. On infrastructure you control. Every answer cites its sources.
Up to 10 custom AI models
One per step of your methodology — proposals, diagnostics, workshops, advisory.
Your institutional knowledge, at hand
Past proposals, methods, and contracts become a knowledge base the whole team queries. A junior consultant drafts at a senior standard.
Hosting, constant upgrades & unlimited support
Servers, backups, monitoring, platform updates. All included. No IT team needed.
Proof, not promises
−75%
“We went from 20 people developing projects to the 5 most important ones — the ones AI can't replace. Cost and time efficiencies, better quality, and client expectations met more fully than before.”
5 custom models do the operating work of 5 marketing roles — without growing payroll.
The guarantee
Live in 4 weeks, or we keep working at no extra cost
We agree on a success checklist at kickoff. If it isn't met by day 30, we don't stop until it is.
The price
US$5,000 implementation (one-time) · US$1,500/month
Everything above, up to 50 users included at the same price. No hidden line items.
Bonus
PathMBA — a curated business library inside your AI
Expert business knowledge your models can cite, next to your own. Included with an annual contract.
Included
Your part
About 5 hours of your team's time. We do the rest.
You provide the documents that define how your firm works and one project owner. We install, customize, train, and operate.
Week one
Architecture and installation
- One-hour kickoff
- Models, security, and backups
ResultCore workspace online
Week two
Knowledge and personalization
- Your knowledge base
- Your custom models
ResultFirst version ready to test
Week three
Pilot and refinement
- Real client workflows
- Refined from your feedback
ResultSystem validated by your team
Week four
Launch and operation
- Users and final permissions
- Team training
ResultLive, with ongoing support
Questions
Where does our data stay?+
In your deployment infrastructure: your private cloud, your servers, or a disconnected environment. Data reaches an external service only when your organization configures it.
How is this different from giving my team ChatGPT?+
It knows your organization and your methodology, your data stays on infrastructure you control, and access is managed by team and project with usage records.
What about AI usage costs (tokens)?+
Your organization pays for its tokens at cost, directly to the provider or through Astraed with no markup. No resale, no surprise.
Do I need a technical team?+
No. Installation, monitoring, backups, and updates are part of the service. If you have an IT team, we work within its policies; if not, one is not required.
Can't I do this with custom GPTs or Claude projects?+
For one person, yes. For a firm, it breaks: GPTs live in personal accounts, everyone builds their own, knowledge gets duplicated and stale, and nobody maintains it. Here the models belong to the firm — one shared standard per step of your methodology, with permissions by team and project, maintained by us.
How do I answer my clients' confidentiality agreements?+
Client material is processed on infrastructure you control, with per-project access and usage records. You can tell your client exactly where their data lives and who touched it — something a generic plan doesn't let you claim.
What happens when our methodology changes or new people join?+
Knowledge updates are part of the service, with up to 4 new models per month when needed. A new consultant works from day one with the firm's proposals, methods, and judgment — without waiting for a partner to have time to teach them.
Are we locked into one AI model?+
No. The platform is model-agnostic: approved providers or open models running locally, in whatever combination your organization defines. When the market shifts, you switch models without losing your knowledge or your custom models.
Who owns the knowledge base?+
You do. It lives on your infrastructure, built on open-source software. Your methodology doesn't get held hostage in anyone's platform.
Which AI models can we use?+
Any, from any company: GPT, Claude, Gemini, or open models running on your infrastructure. Mix them by task — the best model for proposals may not be the best for analysis — and when a new one ships, we turn it on with no migration.
Does it work with our documents and meetings?+
Yes — that's the main use. Upload files or paste transcripts straight into the chat, and answers cite which document they came from. Cabrera & Co ran 12,757 files through this path.
Can I share work with colleagues and clients?+
Every conversation is shareable by link, and work is organized in folders by client or project. A winning proposal gets cloned and reused as a template.
Does it connect to our tools?+
Yes: Notion, databases, and whatever services your organization approves — connected during implementation, under your policies.
Can we use it from a phone?+
Yes. It runs in the browser, on desktop and mobile, nothing to install. Your team signs in from wherever they're working.
One call. Your numbers. A clear yes or no.
Evaluate your case in 30 minutes →We onboard one firm per month. The next slot is assigned on the call.