Product
The layer that makes agents trustworthy.
BlackGrid sits between your systems and your agents and governs everything that crosses it — the context going in, the actions coming out, and the record of both. Here's what's inside.
Architecture
One layer, four jobs.
BlackGrid does the unglamorous infrastructure work that decides whether an agent can be trusted: it unifies context, grounds outputs, enforces oversight, and records lineage. Everything else on this page is detail on those four.
01
Context
Unify systems into one permissioned layer.
02
Trust
Ground every output; keep it explainable.
03
Control
Checkpoints and guardrails you configure.
04
Lineage
A complete, exportable record per action.
Worked example
The four jobs, on one investigation.
The same four-part pattern on a single high-stakes workflow: a special-investigations (SIU) review of a flagged insurance claim — exactly the kind of regulated, human-owned decision BlackGrid is built for. It illustrates the platform as designed; we map it to your own systems and workflow during the design-partner pilot.
The status quo: an investigator opens the claim and spends hours cross-referencing the policy, prior-loss history, adjuster notes, and uploaded documents by hand before any judgment can begin. Here is that same review, run through the layer.
01 · Context
Assemble the file, permissioned
The agent draws the policy, prior-claim history, adjuster notes, and documents into one view — returning only the fields this investigator is cleared to see, each tied back to its source system.
02 · Trust
Surface findings, grounded
It flags what matters — a date that doesn't line up, a duplicate prior loss — and anchors each one to the exact claim note or policy clause it came from, with a confidence signal rather than a black-box verdict.
03 · Control
Stop at the human checkpoint
Nothing consequential happens on its own. A referral, an adverse decision, a payment hold — each routes to the investigator to approve. The case is assembled; the judgment stays human.
04 · Lineage
Leave a defensible record
Context drawn, finding grounded, human approval, action taken — every step is captured as a time-stamped, exportable trail, ready for the file, the auditor, or the examiner.
The shift: less time assembling the file, more time on judgment — and every conclusion arrives already cited and already logged. Faster review and a stronger paper trail, not a trade between the two. See the practitioner discussion →
01 · Context
A governed context layer over your systems.
Connect your sources once. BlackGrid resolves core banking, policy, claims, servicing, CRM, and unstructured documents into one queryable context layer, with permissions enforced at the field level. Agents and people request context; the layer returns only what the requester is cleared to see, current and tied to its origin.
- Field-level permissions and access scoping
- Source-of-record traceability on every fact
- Structured + unstructured unified
- Model- and system-agnostic by design
IBM: <1% of enterprise data lives in today's models. BCG: the target state makes the record itself the single source of truth.
02 · Trust
Grounded answers, traceable to the source.
Every agent output is anchored to the specific context it used, and that link is preserved. Open any answer and read straight back to the policy clause, the claim note, the document line it relied on. When an output is wrong, you find the cause, not just the symptom — and you fix the context, not the guesswork.
- Source citations attached to every output
- Confidence and grounding signals surfaced, not hidden
- Replay: reconstruct what an agent saw and why
McKinsey: inaccuracy is the most-experienced AI risk; explainability the most under-managed.
03 · Control
Checkpoints where they matter, guardrails everywhere else.
Decide which actions an agent may take on its own and which require a human to approve. BlackGrid enforces those rules and routes high-stakes or irreversible actions to the right person before anything happens — then records the decision. Following the agent definition the industry uses, the system can halt and hand control back to a human at any defined point.
- Configurable checkpoints by action risk and value
- Guardrails on tools and autonomy levels
- Graceful hand-off and escalation paths
- Every approval and override recorded
OpenAI: agents should escalate to a human on high-risk, sensitive, or irreversible actions.
04 · Lineage
A complete record, ready to defend.
BlackGrid records the lineage of every action — the context it drew on, the output it produced, the checkpoint it passed, the human who approved it — as an exportable, time-stamped trail. When your risk committee, auditor, or examiner asks “what happened, and why,” the answer is one query away, not a forensic project.
- End-to-end, time-stamped lineage per action
- Exportable for audit, model risk, and regulatory review
- Retention and access controls
Geneva Association: a clear measurement/audit framework is essential to control “black-box” risk as model complexity rises.
Security
Built for the people who say no.
Your security and compliance teams should be the easiest part of the deal. BlackGrid is designed for regulated environments: least-privilege access, data isolation, and your choice of deployment.
| Area | Specification & status |
|---|---|
| Deployment | SaaS · On-premise |
| Certifications | SOC 2 Type II |
| Data handling | Not used to train models · field-level access control |
| Identity | SSO / RBAC |