Capabilities

What we can actually build.

The building blocks — the four things Rose Point actually builds, delivered as named modules. The Context Layer comes first and everything else builds from there, with evals running through all of it. For how these get packaged, and sequenced into an engagement, see Services.

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The capability set

Scoped and priced on their own.

Each capability is a named module with its own scope, price, and acceptance criteria, not one blob of “AI services.” Most engagements start with the Context Layer, then add the others one workflow at a time. Build vs Buy runs through all of them, and so do evals.

A

Context Layer

We extract the operator knowledge trapped in your people's heads, documents, and inboxes, and encode it so agents can actually use it and cite it. The foundation everything else sits on, and the part most consultants skip.

The Context Layer visualized: tacit knowledge captured from people — judgment, why deals close, undocumented workarounds, how work is really sequenced, tribal know-how — alongside explicit data connected from systems such as documents, CRM, customers, suppliers, and policies, unified into one governed, inspectable, owned layer that is connected, trusted, traceable, and portable.
Most of what runs a business is tacit. The Context Layer captures it from people, grounds it in sources, and holds it in a layer you can inspect, govern, and own.
What it does for you
  • Turns scattered SOPs, judgment, and tribal knowledge into one authoritative source
  • Gives every downstream agent something solid and traceable to stand on
  • Makes outputs point back to sources a human can check
What you get
  • Encoded knowledge base mapped to real workflows
  • Authority rules: what information the system is allowed to trust
  • Source-grounding so answers are auditable
Illustrative use cases
  • Encode a firm's deal-screening rubric so an agent can apply it consistently
  • Capture a senior underwriter's review checklist before they retire
  • Consolidate years of policy docs and email decisions into a citable knowledge source
B

Custom Applications & Agentic Deployment

We build the apps and agent systems that do the legwork on real workflows, one function at a time, with humans kept in the loop where accountability matters.

What it does for you
  • Takes repetitive research, synthesis, routing, and review off your team
  • Ships one workflow live end to end before expanding the surface area
  • Keeps humans on the approval gates that carry risk
What you get
  • Production apps and agents on your real workflows
  • Clear human approval and exception handling
  • Acceptance criteria and observable value per function
Illustrative use cases
  • Deal-memo synthesis drafted from a data room for human sign-off
  • Inbound lead and email routing with an approval gate before anything sends
  • Document review that flags exceptions instead of rubber-stamping them
C

AI Training & Enablement

We train your team to use AI, and the tools we build, effectively. This is organizational change management so adoption sticks, not another failed pilot.

What it does for you
  • Builds real fluency, not a one-time demo
  • Fits the people, permissions, and incentives already in the business
  • Turns a launched tool into a used tool
What you get
  • Role-based playbooks and a vetted prompt and tool library
  • Hands-on workshops on your actual workflows
  • An adoption plan with owners and checkpoints
Illustrative use cases
  • Onboard a team to the tools we ship so usage survives past week two
  • Stand up an internal prompt library matched to each role
  • Run change management so the new workflow becomes the default
D

Build vs Buy Advisory

Woven through every capability: for each function, decide what to build custom, what to buy off the shelf, and what not to do at all. The fastest way to avoid tool sprawl and wasted budget.

What it does for you
  • Stops you overbuying tools or overbuilding prototypes
  • Gives a defensible call for every capability on the roadmap
  • Can run standalone alongside a Sprint as a lighter step
What you get
  • Capability-by-capability build, buy, or skip recommendation
  • Vendor evaluation where buying wins
  • A roadmap that spends effort only where it pays off
Illustrative use cases
  • Decide whether to license a vendor tool or build the workflow in-house
  • Cut three overlapping pilots down to the one that matters
  • Pressure-test a roadmap before committing engineering time
Non-negotiable

Evals, baked into every module.

We build the tests that catch when your AI is confidently wrong. They run inside every Build and they are the core of what Operate maintains. Most consultants skip this. We do not.

What that means in practice
  • Golden datasets and regression tests per workflow
  • Source-grounding checks so outputs trace back to authority
  • Human accountability built into the loop from day one
  • Tests that gate a module before it ships
How they combine

Why the Context Layer comes first.

The capabilities are not a menu you pick from at random — they stack. Context is the foundation, one workflow proves the value, then modules compound on top, and Operate keeps the whole system maintained.

Step 1 // Context first

Encode the knowledge

Stand up the Context Layer so everything downstream has something solid to stand on.

Step 2 // One workflow live

Ship a single function

Build one real workflow end to end, with evals, before expanding.

Step 3 // Then the next

Add modules over time

Operate keeps the whole system maintained and compounding.

Capabilities are what we build. For how an engagement is structured and priced, see Services.

Next step

Not sure which capability you need?

That is what the Sprint is for. We map where AI creates real leverage and scope the first build.

Start with a Sprint See how we engage