Claude AI consulting: business AI built on Claude, governed from the start.
Ignyto is an Anthropic Claude Registered Partner and a Salesforce Summit partner. That means we build AI where it belongs — on Claude when the work spans your wider systems, on Agentforce when it belongs inside your CRM — and we have no reason to recommend the wrong one.
The work Claude is genuinely good at.
Claude is strong where the material is messy and written down rather than neatly held in records — contracts, policies, tickets, email threads, technical documentation. Most of what we build falls into four groups.
Each one starts narrow. A single job, done reliably, with a number against it. Breadth comes after the first one is trusted.
What a Claude engagement covers.
Internal agents and assistants
An assistant that answers from your own policies, product documentation and past tickets rather than from the open internet. Retrieval is scoped to sources you have approved, and it says when it does not know.
Document and contract work
Reading, comparing and summarising long documents at volume — supplier agreements, claims, applications, tender responses. The work people do accurately for an hour and then stop doing accurately.
Automation across systems
Where a process spans your CRM, finance system and a shared inbox, an agent can carry it end to end and hand off to a person at the points you decide. We connect the systems so it reads one version of the truth.
Customer-facing agents
Only once the guardrails hold. Topics, actions, escalation paths and refusals agreed in advance, with every call logged so an auditor can see what was asked and what came back.
Claude or Agentforce, decided by the work.
If the job lives inside your CRM and needs your sharing model, entitlements and audit trail, Agentforce is usually the right home for it. The security model is already there and you are not rebuilding it.
If the job spans systems Salesforce does not own, leans on documents and unstructured content, or needs to sit inside a tool your team already lives in, building on Claude is normally simpler to govern and cheaper to change later.
Plenty of engagements use both. What matters is that the decision is made on evidence, after an AI readiness assessment, rather than assumed at the start.
What we put in before anything goes live.
Scoped retrieval
An agent can only reach sources you have approved, and only the parts of them a given user is entitled to see. No blanket access to a shared drive.
Refusals and escalation
What it must hand to a person, what it may never say or do, and what happens when it is uncertain. Written down and testable rather than assumed.
Logging for auditors
Every request and response recorded, so a regulated business can show what the agent was asked, what it retrieved and what it answered.
A measurable first use case
Volume, handling time or error rate captured before the build, so the return is arguable afterwards rather than anecdotal.
Ignyto has delivered over a thousand projects since 2016 from London, Manchester and Dublin, much of it in regulated industries where the audit trail has to hold. Anthropic does not train its models on business customer data submitted through the API by default, and we design retrieval so sensitive material never enters a prompt that does not need it. See how we handle security and compliance.
Questions we get asked first.
When is Claude the right choice rather than Agentforce?
Where the work lives inside your CRM and needs your sharing model, entitlements and audit trail, Agentforce is usually the right home. Where the work spans systems Salesforce does not own, handles documents and unstructured content, or needs to sit in a tool your team already uses, building on Claude is normally cleaner to govern. Ignyto holds both partnerships, so the recommendation follows the work rather than the licence.
Do we need Salesforce to work with Ignyto on Claude?
No. Claude work does not depend on Salesforce, and we take on Claude projects for organisations running other CRMs or none at all. Where you do run Salesforce, we can connect the two so an agent reads one version of the truth.
What about our data going into a model?
Anthropic does not train its models on business customer data submitted through the API by default. Beyond that, we design what an agent may retrieve and what it may never touch, keep the retrieval scoped to sources you have approved, and log every call so an auditor can see what was asked and what came back.
What is the first piece of work?
A readiness and use case review. We establish what an AI agent could truthfully do on your data today, rank candidate use cases on volume, risk and how measurable the saving is, and set out a costed build plan. It is possible in as little as two weeks, though that depends on complexity and your team’s availability.
Who owns what we build?
You do. The prompts, the retrieval design, the guardrail configuration and any code are yours, documented so another team could pick them up. We would rather earn the next phase than hold you in place.
Book a 30-minute call with an Ignyto consultant.
On your own systems rather than in the abstract. We will tell you which of your repetitive tasks are worth handing to an AI agent, and which are better fixed a simpler way.