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Forward-deployed delivery / Managed Agents

From a business process to a deployed agent.

Build the first workflow with Forward’s forward-deployed engineers. Agree the result, connect authorized systems and qualify operation with your team. Reuse connectors, policies, evaluations and runbooks as you expand, within the agreed data rights.

Forward-deployed delivery

Scope, integrate and operate with your team.

Forward engineers work with your business and technical teams through implementation and the agreed operating scope. Each deployment builds reusable integrations, evaluations and runbooks.

Meet the delivery model
  1. 01

    Understand the job

    Work with your process owner to map decisions, exceptions, systems and the current baseline.

  2. 02

    Integrate and qualify

    Connect authorized context and tools. Test task outcomes, approvals and recovery on representative cases.

  3. 03

    Operate and improve

    Agree support and ownership. Measure delivery effort, reuse integrations and evaluations, and qualify improvements from authorized feedback.

[01 / OWNERSHIP MATRIX]

Choose your implementation and operating responsibilities.

Compare API access, Forward-operated workflows and implementation engagements. Each scope identifies the result, systems, responsibilities and applicable usage.

Your engineers build the agent graphs; Forward HIVE runs the state, sandboxes, approvals, and metering.

Agentic OS Runtime API

Product & platform teams shipping customer-facing or internal agents who want full code control without building orchestration plumbing.

Your team owns
Agent system prompts, tool definitions, and application UI; Connector credentials and domain business logic; Human-in-the-loop reviewer assignment inside your product
Forward owns
Durable thread execution, checkpointing, and interrupt/resume state; Isolated tool sandboxes, browser automation, and vault storage; Terminal citation verification, OpenDetector guardrails, and ACU telemetry
Commercial structure
Contracted ACU plan and usage. The agreement identifies included inference, external resources, support and any additional charges.

Forward implements and operates the agreed workflow, integrations, evaluation and support scope.

Managed Agents

Enterprise and regulated teams deploying multi-step operational agents that require strict uptime, audit evidence, and continuous regression gates.

Your team owns
Domain policies, approval thresholds, and final sign-off on high-risk actions; Internal system-of-record permissions and data residency rules; Business KPIs and acceptance sign-off criteria
Forward owns
Managed HIVE runtime deployment (VPC-peered, dedicated, or regional boundary); Continuous trajectory monitoring, citation-gate tuning, and model fallback policies; Incident response, runbook operations, and versioned agent upgrades
Commercial structure
Implementation scope, recurring operation, included ACU allowance and agreed overage rates.

Bring the operational bottleneck and target metric; Forward designs, integrates, evaluates, and ships the production agent workflow.

Automatic Implementation

Executive and operations leaders who want a measured production outcome—not an open-ended consulting engagement or DIY SDK project.

Your team owns
Problem definition, subject-matter edge cases, and historical gold examples; Security review of system connectors and staging environment access; Final acceptance against the agreed baseline benchmark
Forward owns
End-to-end workflow architecture on Agentic OS (Forward HIVE); Connector implementation, custom evaluation rubrics, and Agent RL adaptation when needed; Accepted deployment, operator handoff and agreed post-launch support
Commercial structure
Fixed-scope implementation milestone + transparent ongoing operating fee and ACU envelope.

[02 / POD ARCHITECTURE]

What your Managed Agent scope includes.

Agree the workflow version, authorized connections, validation checks, exceptions and operating responsibilities.

POD.01 / TENANT-SCOPED MCP & VAULT BINDING

Zero-trust tool and document wiring

Confirm the identities, permissions and data boundaries for each connected system. Qualify isolation and revocation in the agreed deployment.

Headers: X-Organization-Id + X-User-Id · Fail-closed ACL check

POD.02 / DETERMINISTIC VERIFIER & CITATION GATES

Pre-commit verification before external side effects

Configure source checks, schema validation and appropriate review before agreed external actions. Record unresolved references and exceptions.

Audit artifact: /reviews/citation_audit/{run_id}.json

POD.03 / HUMAN-IN-THE-LOOP INTERRUPTS

Resumable approval envelopes for high-consequence actions

When a workflow hits a spend threshold, legal filing, contract mutation, or policy ambiguity, the pod pauses cleanly and emits an approval envelope that operators can approve, edit, or reject.

State: status="interrupted" · external_tool_budget_soft_pause

POD.04 / CONTINUOUS EVAL & AGENT RL FEEDBACK

Production traces feed ongoing quality improvement

With the required data rights, selected runs and corrections can support regression evaluation, curated demonstrations or a separately qualified Agent RL experiment.

Metering: Retainer + hive_acu consumption with hard/soft caps

[03 / AUTOMATIC IMPLEMENTATION CADENCE]

From workflow specification to verified production execution in four milestones.

The milestones below illustrate an engagement. Timing and acceptance are agreed for the workflow and its integrations.

PHASE 01 · SCOPE

Workflow & boundary spec

Map input triggers, required MCP tools, Vault data sources, human approval thresholds, and target latency/cost budgets.

Exit gate: Signed workflow contract & eval rubric
PHASE 02 · CONFIGURE

Tooling & verifier wiring

Configure tenant-isolated MCP connectors, sandbox policies, OpenDetector checks, and deterministic domain verifiers.

Exit gate: Offline benchmark pass on golden traces
PHASE 03 · EVALUATE

Shadow & HITL soak

Run live traffic in shadow or mandatory human-approval mode to validate citation fidelity, interrupt recovery, and ACU unit economics.

Exit gate: Accepted task results, exceptions and action controls
PHASE 04 · ONGOING

Managed pod or handoff

Operate as a Forward Managed Agent Pod with SLA monitoring or hand off runbooks and CI eval gates to your engineering team.

Exit gate: Agreed operating scope, support and evaluation evidence

Need milestone-gated co-delivery across infrastructure, RL, and safety?

Explore Forward Projects for custom applied-AI engineering or inspect our flagship legal deployment at Forlex.

Forward ProjectsForlex case study

Continuous improvement / Controlled learning

Every accepted outcome can inform the next improvement.

Build a loop from business execution to measured improvement. Agent feedback helps propose and score changes. Verified outcomes and independent evaluation determine whether they work.

  1. 01

    Business task

    A defined job and acceptance criteria.

  2. 02

    Governed execution

    Authorized context, tools and action limits.

  3. 03

    Verified feedback

    Outcomes, expert review and calibrated agent judgments.

  4. 04

    Reward-based training

    Authorized signals update an eligible policy.

  5. 05

    Independent evaluation

    Held-out quality, policy, latency and complete cost.

  6. 06

    Approved release

    An accountable owner or pre-authorized policy governs promotion and rollback.

Illustrative learning lifecycle. Execution permission does not grant training permission. Training changes eligible model or policy weights; prompt and tool changes have their own evaluation path. Learning cannot expand agent permissions. Deployment, training and release gates are agreed for each engagement.

Explore Agent Learning Review governance boundaries

Start with a business owner and a measurable job.

Agree the implementation, acceptance criteria, governance and recurring operating scope. Training has a separately authorized budget and evaluation plan.

Explore governance

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