Long-document analysis
Contract, policy and report review pipelines that feed whole documents into the context window and return findings with quoted evidence.
AI platforms
Anthropic development.
Claude models are well suited to long documents, careful instruction following and agent-style work where the model has to plan and use tools. We use them for document analysis, coding tasks and workflows built on the Model Context Protocol.
A short call. Your first build, a fixed quote, and the timeline. No obligation.
What we build with Anthropic
Where it fits.
Tool-using agents
Agents that plan across several steps and call your internal systems through tool use, with approval gates before any write action.
MCP servers
Model Context Protocol servers that expose your databases, ticketing system or internal APIs to Claude clients in a controlled, auditable way.
Cached knowledge assistants
Assistants that reuse a large stable prompt, such as a policy manual, with prompt caching to keep repeated calls fast and efficient.
When it is the right choice
Choose Anthropic when
- →The input is long, messy or document-heavy and accuracy of reading matters.
- →You want an agent that follows detailed instructions and stays within boundaries.
- →You plan to expose your systems through MCP.
Worth knowing
Honest trade-offs.
- →Very long inputs still need structure, so we chunk, label and test rather than assuming the model reads everything equally well.
- →Model availability and limits differ by region and cloud, which affects where you can host the workload.
Often paired with
PythonTypeScriptPostgreSQLAWSModel Context ProtocolRedis
Related services
Services that use it.
Proof
Work built by the same team.
Closeum
13+ connected modules from calls through commissions
13+connected modules
5role types
32completed transactions
40+leads managed
SIIMS
Orders, production, warehouse, and dispatch on the same records
4operational roles
37backend tests passed
17hosted workflow tests passed
Ledgerline
603 tests passed in a dated financial-control verification
SAR 760Kcash reconciled end to end
603tests passed
14control findings fixed
3finance sources in one ledger
Common questions
Before you start.
What is MCP and do we need it?
The Model Context Protocol is an open standard for connecting models to tools and data. You need it if you want several AI clients to reach the same internal systems without custom glue for each one.
Can Claude run inside our cloud account?
Claude is available through some major cloud platforms, which can keep traffic and billing inside an account you already govern. We confirm current availability for your region during scoping.
How do you keep agents safe around real systems?
We give agents narrow, scoped tools, require human approval for destructive actions and log every tool call. Read access comes first, write access is added deliberately.
What do you build with Anthropic?
Long-document analysis, Agent-style workflows, Code and data tasks, MCP tools, and related work. We choose Anthropic when it is the right fit for the product, the team and the budget.
Can you work with our existing Anthropic code?
Yes. We can review what you have, fix what is fragile, and extend it, or build alongside your team.
Keep exploring
More than Anthropic.
Where we apply it
The Audit
Get my free AuditKnow what to build first.
Book a short call and show us one workflow. You leave with what we would build first, a fixed quote, and what should wait.