Being a Claude Services Partner - Member means we've committed to delivering AI that's responsible, governed, and actually useful.
We build on Claude — Anthropic's AI, built with safety at its core. You get one of the strongest enterprise AI models available, delivered through a consulting partner who knows how to implement it.
Anthropic built Claude around clear principles — honesty, safety, and usefulness. We structure our engagements the same way, from day one.
Partner status reflects verified delivery competency — not just familiarity with the product. We've demonstrated the ability to implement Claude responsibly across real enterprise environments.
We've spent 20+ years delivering inside complex enterprise environments. That context shapes how we approach AI — practically, not theoretically.
Every engagement starts with a business case, not a technology pitch. We find one workflow worth automating, prove the gain, and build from there.
Claude is our primary platform — but we're not locked in. If a task genuinely calls for a different tool, we say so. You get the answer that fits — not the one that protects the partnership.
Rolling out AI across a business is an operating decision. We put the controls in place that a CIO and CEO need before teams scale — so AI moves at pace without creating compliance or security issues later. One governed platform, one security model, instead of every team doing something different.
Your data isn't used to train Anthropic's models. We configure retention to match your policy — including zero-retention for sensitive workloads — and agree up front on what data the model can and can't access.
Role-based access and automated provisioning — so AI access is managed through your existing identity infrastructure, not bolted on separately.
Routine drafts move freely. Anything customer-facing, financial, or regulated goes through a human checkpoint before it goes anywhere. We don't hand over autonomy until there's a track record to support it.
When Claude connects to your systems, read and write permissions are separated, irreversible actions require approval, and document content is treated as data — not as instructions.
Full logging, retention, and exportable audit records — the evidence trail that regulated environments and public companies need to adopt AI with confidence.
An acceptable-use policy, a clear governance owner, and role-based training — so AI adoption is consistent and visible across the business, not something each department works out on its own.
Governance is defined before department rollout — not added later. It goes into the engagement from the first proof of concept.
A lot of AI engagements wrap up with a document and a handshake. Ours wrap up with something running in production and a number to point to. We've been solving enterprise delivery problems since 2006 — AI is the next layer on that foundation.
As a Claude Services Partner, we bring Anthropic's AI together with VG's enterprise delivery experience — so your AI investment lands inside the systems that actually run your business, not alongside them.
Numbers we have seen on our own projects — not figures from a report.
AI is compressing every phase of delivery. Here is where the gains show up:
* Figures vary by engagement, industry, and solution complexity.
* Figures vary by engagement, platform, and implementation complexity.
Most clients start with two or three of these. We scope a focused proof of concept around what fits your business first.
Inbound documents, emails, and data feeds captured, validated, and routed into the right system automatically.
Customer and internal questions answered from your own systems — no manual lookup, with every answer traceable to source.
Repetitive, rules-based work handled by AI across your systems — humans stay on the exceptions.
Search across policies, manuals, and SOPs — answers in plain language, with citations back to the source.
Ask your systems a question in plain English and get a table, chart, or summary back — no query writing, no waiting.
Data conversions, integrations, APIs, and documentation delivered faster through AI-assisted development.
The same model, the same security setup — wherever the work happens.
AP invoice capture and PO matching; month-end variance narratives drafted for review.
Supplier-performance summaries; SOP drafting from process walk-throughs.
Order-status and returns answered from your ERP; complaint triage and routing.
Configuration documentation from system tables; script and integration generation.
Proposal and pricing-letter drafting from CRM data; market and account briefs.
Policy Q&A; job-description drafting; leadership board-pack synthesis.
Before we pitch AI to a client, we use it ourselves. Here's where Claude runs inside VG.
Claude drafts scopes, timelines, and pricing from discovery call notes. Our consultants review and approve before anything goes out.
AI pulls structured user stories and acceptance criteria from call recordings — what used to take hours takes minutes.
AI prototypes integration flows and API schemas before a sprint begins — cutting the design-to-build handoff significantly.
AI assists with code generation, test writing, and documentation across our projects. That's a number we've tracked across our own projects, not a figure from a whitepaper.
We built an internal alert agent that monitors a high-volume shared inbox and routes critical incidents by SMS — with a defined response target and a full audit trail.
Claude drafts content, outbound sequences, and RFP responses — all reviewed before they go anywhere. Speed matters — but nothing leaves without a human signing off.
Every use case here runs on a live skill inside VG's Cowork environment. These are tools our team uses daily — now available to clients.
Pulls brand voice from docs and transcripts and turns it into a style guide your team will actually use.
Applies your brand voice to proposals, posts, and emails — consistently, every time.
Branded decks and proposals generated from structured inputs — ready in minutes.
Takes interview transcripts and usability notes and turns them into clear themes and prioritized recommendations.
Annotate, fill, and sign PDFs inside the Cowork environment.
Each agent below is live with real clients. Each one has been through real client deployments, not just internal testing.
Handles resume screening, candidate matching, and interview scheduling — built for high-volume hiring in healthcare, insurance, and staffing.
Gives mineral and royalty owners instant answers on production, payments, and documents — pulling directly from your system of record.
Handles inbound lead qualification and outbound follow-up via voice and SMS — trained on your product and your criteria.
Engages leads and answers product questions directly in WhatsApp — where your customers already are.
Automates scheduling and confirmation for service businesses — fewer no-shows, less coordinator time.
Every engagement follows the same path — so you always know where things stand.
Data audit, readiness review, and use-case identification — aligned to what your business actually needs.
Fixed scope, fixed price. You see working AI before committing to anything larger.
Cloud or on-premise rollout with security controls and human oversight built in from day one.
Documented gains and cost reductions — the business case for what comes next.
Start with a discovery conversation. We'll find one high-value use case and show you what's possible.
Smart, Scalable Solutions for Every Business. We deliver AI-driven, consultative solutions that solve your business problems – always tailored to your goals, your systems, and your budget.
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