Stop the token bleed on a live pilot.
Map where context fails and tokens are wasted, then stand up one live micro-controller on that workflow. Recovered spend is how the Sprint pays for itself.
Prefill: stalled pilotFor teams already running agents, frontier models and complex pilots: 14 days, a traversal of the estate those agents work in, one live GW Slate™ controller on the route that matters most, and two Actuality Receipt™ records. $7,500 standard · $10,000 regulated · 100% creditable.
Estate map: CMS, ERP, and a legacy database feed Manta Graph™, then one GW Slate™ controller on the biggest workflow, then two Actuality Receipts.
Frontier models are the most capable general-purpose AI systems available at a given moment — used for hard reasoning and combined with estate context and frontier systems under GW Slate™ identity, policy, runtime, and receipts, with human-at-the-control.
14-day Frontier Diagnostic Sprint · $7,500 standard · $10,000 regulated
SOC 2–aligned controls · GDPR and EU AI Act–aligned · audit-trail guarantees on every governed action.
Never train · no rip-and-replace · you own the blueprint and the custom MCP rails
Frontier Diagnostic Sprint or Analog-to-Digital Sprint — $7,500 standard / $10,000 regulated, 100% creditable toward your GW Slate™ build → GW Slate™ Department from $25,000 → Sovereign Enterprise, custom.
Map where context fails and tokens are wasted, then stand up one live micro-controller on that workflow. Recovered spend is how the Sprint pays for itself.
Prefill: stalled pilotChoose the model that fits each step, bind it to your estate context under GW Slate™ identity, policy, runtime and receipts, and keep the blueprint and the custom MCP rails. Hybrid by default; on-prem or air-gapped by choice.
Prefill: scaling an existing AI deploymentCommits, pipeline runs, pull requests, tickets and threads already hold every automated pass and every human rejection. The traversal joins them into one typed event graph, so certify-then-reject loops, scope reopens and unrecorded approvals surface on day one. Illustrative sample data.
One graph, many estates. The intake changes with the objective — market programs, document sets, product knowledge, a digital property under active build. The sequence holds: map what is truly in play, prepare the context, propose routes, bind authority, execute under control, return proof. It runs on the systems already in place — no retraining, no replacement, no new stack to buy.
A mid-market enterprise ships a production web property with AI build agents. Six days of work produce two governance failures. Every piece of evidence needed to catch both sits in the estate the entire time.
Illustrative scoring for the selected deterministic sample.
Sample measures reflect this deterministic demonstration only.
One prepared prompt, one model route, one final manual review.
Structured context, hybrid retrieval, specialist routing, and named approvals.
Digital property under AI-assisted build sample selected. Intake view active.
See the pattern the traversal finds: the certify-then-reject loop
What the Sprint scores your workflow against.
Manta Graph™ maps the workflow and the context it runs in. GW Slate™ enforces the four. Every action leaves a receipt. The Sprint proves all four on one of your own workflows.
| Term | Standard | Regulated |
|---|---|---|
| Turnaround | 14 days | 14 days |
| Fee | $7,500 | $10,000 |
| Payment | 100% upfront (fully creditable retainer) | 100% upfront (fully creditable retainer) |
| Scope | Up to 2 pilots or 1 pipeline | Up to 2 pilots or 1 pipeline |
| Micro-Proof | One workflow | One workflow |
| Regulated-tier gate | — | Context required at intake before scheduling |
| Fee credit | 100% creditable toward your GW Slate™ build. Flexible terms available for qualified engagements. | 100% creditable toward your GW Slate™ build. Flexible terms available for qualified engagements. |
Posts to Manta Graph Intake. Regulated-tier submissions without context are rejected here, before scheduling.
The Frontier Diagnostic Sprint is the paid first step onto GW Slate™ for teams already running agents and frontier models. In 14 days it traverses the estate those agents work in (commits, pipeline runs, pull requests, tickets and message threads) to find where tokens bleed, where gates certify the wrong property and where approvals go unrecorded. It then stands up one live GW Slate™ controller on the highest-value route and returns two Actuality Receipt™ records. The fee is $7,500 standard or $10,000 regulated, 100% creditable toward a Department or Enterprise build.
The Frontier Diagnostic Sprint starts from agents and frontier models already in production or pilot. The Analog-to-Digital Sprint starts from legacy systems such as CRM, ERP, CMS and TMS, and maps them before a model is chosen. Both run 14 days, both cost $7,500 standard or $10,000 regulated, and both credit 100% toward a GW Slate™ build.
The models and systems you already run. GW Slate™ routes each step to the model that fits it, frontier or local, and holds identity, policy, runtime and receipts around every call. GlobalizeWe never trains models on customer data.
$7,500 standard and $10,000 regulated, where risk surface and security scope run larger, invoiced 100% upfront as a fully creditable retainer toward your GW Slate™ build. Scope covers up to 2 active pilots or 1 core pipeline; each additional pilot or pipeline is +$1,500; three to five workflows move to GW Slate™ Department from $25,000.
For teams already running agents, frontier models and complex pilots: 14 days, a traversal of the estate those agents work in, one live GW Slate™ controller on the route that matters most, and two Actuality Receipt™ records. $7,500 standard · $10,000 regulated · 100% creditable.