AI Native Services

Engineers who ship the agents, embedded with the teams who own the outcome

AI alone doesn't close a procurement or commercial gap. dSilo pairs the platform and ready-to-run agents with forward-deployed engineers (FDEs) who sit inside your business, connect the data, configure the agents, build the evals, and stay until the savings show up in the ledger.

Outcome-scoped, not hours-billed
Every agent leaves governed and documented

# engagement-01 · global pharma · procure agents
owner        VP Procurement, Indirect
fde_lead     dSilo FDE
data         SAP ECC · Coupa · Icertis · 41k invoices/mo
agents       PPV · Payment Terms · Contract Leakage
autonomy     start L1 (recommend) → target L2 (act, gated >$50k)
evals        1,200 labeled line items · pass ≥ 97% before promote
hitl         3 category managers · 2 dSilo reviewers
exit         validated savings in AP, runbook signed, agents on L2
timeline     days to first agents live, not months

Why services, from a platform company

The last mile of enterprise AI is people, data and process — not another model

Most agentic projects stall for the same three reasons: the data isn't connected, nobody owns the exceptions, and the agent has no way to earn trust. An FDE is there to remove exactly those blockers, with the platform in one hand and your ERP access in the other.

Data that isn't ready

Invoices without line items, contracts as scanned PDFs, supplier masters with 40% duplicates. FDEs build the connectors, normalization rules and context graph so the agents reason over facts, not noise.

Nobody owns the exceptions

Agents surface thousands of decisions. Someone has to design who reviews what, at which threshold, in which tool. FDEs configure HITL queues, roles and escalation paths with your category managers and controllers.

No path to earned autonomy

An agent that only recommends never pays back. FDEs write the eval suites and promotion evidence that move agents from L1 to L2 and L3 — with audit and internal-audit sign-off at each step.

What a forward-deployed engineer does

A dedicated team inside yours, accountable for a business outcome

FDEs are dSilo engineers with procurement or commercial-finance fluency. Together with the domain experts and customer success leads in the pod, they work from your Teams channel and your ticketing queue, attend your category reviews, and report progress in the currency your CFO tracks: validated savings, days payable, price adherence, hours removed.

Connect and ground ERP, CLM, AP, CRM and supplier portals wired through governed MCP connectors; documents parsed, deduplicated and linked into the context graph.
Configure agents in Agent Studio Skills, rules, thresholds, memory scopes and workflows tuned to your taxonomy, policies and approval matrix — not a generic template.
Build the evals Labeled golden sets from your own history, regression suites that run on every model or prompt change, and the pass thresholds that gate autonomy promotion.
Operate and hand over Weekly value reviews, exception triage with your reviewers, runbooks, and training so your own analysts can extend the agents after the engagement.

A typical deployment pod

FDE lead dSilo Owns the outcome, the plan and the platform build, plus integration design, security review and deployment posture — managed cloud, your VPC, or BYOK.

Domain experts — Procurement & Finance dSilo Baseline the opportunity with your CFO office, tune thresholds and business rules, and turn agent findings into briefs and claims your managers execute.

HITL reviewers dSilo Validate context and data: label golden sets, check extractions and classifications, work the exception queue, and produce the evidence that promotes agents.

Customer Success — change management dSilo Stakeholder mapping, role and approval redesign, training and communications, and adoption metrics reviewed with your sponsor so the new way of working sticks.

Business owner you Category managers, AP or contract leads who make the gated decisions during the deployment, shape the rules with our experts, and inherit the agents afterwards.

IT / security partner you Identity, network and data-residency approvals; we bring SOC 2, GDPR and HIPAA evidence to your review so security sign-off does not stall the deployment.

Pods scale with scope. A portfolio-wide Operating Partner deployment typically runs two FDE leads, a PE operating domain expert and one customer success lead across portcos.

What you get, and what you keep

Services that leave capability behind, not dependence

A consulting deck is gone the week after the engagement. Everything an FDE builds is a governed artifact in your dSilo tenant that your team can inspect, edit and extend.

Artifacts delivered in every Agent Build engagement

Artifact	What it is	Who owns it after the engagement
Connected data estate	Governed connectors, parsing pipelines and the context graph linking contracts, suppliers, POs, invoices and payments	Your data / IT team, with dSilo support
Configured agents	Skills, rules, thresholds, memory scopes and workflows in Agent Studio — versioned and exportable	Your business owner and analysts
Eval and regression suites	Labeled golden sets and automated checks that run on every prompt, model or rule change	Shared; dSilo maintains model-upgrade baselines
HITL operating model	Reviewer roles, queues, thresholds, escalation paths and SLA dashboards	Your process owner
Autonomy evidence pack	Per-scope promotion evidence (L0→L3), demotion triggers and control narrative for internal audit	Your controls / audit function
Runbooks and training	How agents are operated, changed and rolled back; enablement for analysts and reviewers	You

Connected data estate

What it is

Governed connectors, parsing pipelines and the context graph linking contracts, suppliers, POs, invoices and payments