Cut Support Load for Newport News Operations in 2026

Cost follows three levers: number of intents, number of live system integrations, and the quality bar you set for answers. Simple FAQ bots with static retrieval stay at the low end. Agents that place orders or change tickets need more tool work and tighter tests so price rises. Local labor and cloud rates in Virginia match national averages yet travel stays low because we already serve the region.

Data cleanup often dominates the first invoice. Scanned PDFs and conflicting policy versions require human pass time before any model sees them. We surface that effort in the discovery week so there are no later surprises. Token spend in production is the ongoing piece. Caching and smaller models for easy intents keep that line predictable.

Security requirements add fixed effort. HIPAA or ITAR style controls need extra logging and access reviews. Those packs are priced once then reuse across later agents. You can start without them if the first channel is public marketing only. Expanding later simply adds the controls rather than a full rebuild.

We price pilots as fixed packages with a clear exit. Full production work shifts to time and materials under a monthly ceiling you approve. Every estimate lists assumptions about data quality and API readiness. If those assumptions fail we stop and re-scope instead of burning budget quietly. That discipline keeps total cost honest across the year.

A focused MVP that covers the top ten intents and one channel usually lands in six to eight weeks. Discovery and data map take the first two. Skeleton and tools take the next three. Pilot traffic fills the last two while we tune. Full multi-channel deployment with internal helpdesk and commerce actions often needs another four to six weeks after the pilot proves value.

Timeline slips almost always come from missing API access or unclear document owners. We block those risks in week one by naming owners and test keys. Content that exists only in heads rather than pages also slows retrieval quality. We ask for written sources early so the calendar stays real. Parallel work on design and engineering keeps idle time low.

Rush options exist when a seasonal peak is fixed. Extra engineers shorten the skeleton week yet discovery still needs attention. Cutting discovery almost always creates rework that costs more overall. We refuse dates that ignore data readiness. A written plan with dated milestones goes to you before any heavy coding starts.

After go-live the calendar shifts to monthly improvement cycles. New intents follow a two-week mini path of sample collection, build, and canary. That rhythm keeps the agent growing without large new projects. You control the pace. Some clients freeze scope for a quarter after launch to let staff adjust. Either path is fine as long as metrics stay visible.

We need three core sets: historical conversations or tickets, the source documents and product data the answers must follow, and the API contracts for any action the bot will take. Ninety days of real traffic is ideal so seasonal spikes appear. If chat logs are thin, ticket comments and email threads still work. PII can stay masked as long as the intent and resolution stay readable.

Documents must be text selectable. Image-only scans require OCR first and raise cost. Product catalogs need current inventory flags and attribute fields for any recommendation logic. Policy pages need last-updated dates so the index can prefer fresh material. Conflicting SOP versions must be resolved by your owners before indexing. We never pick the winner for you.

API access starts in sandbox. Read endpoints for status and product data come first. Write endpoints for tickets or bookings arrive only after the pilot proves safe. Rate limits and absolute error formats go into the test harness immediately. Missing fields surface as contract failures rather than silent nulls later. Your network team must allow the egress paths we document.

Optional yet useful are brand voice samples and escalation playbooks. They set tone and teach the handoff path. Without them we default to clear plain language and full context attach. All data stays inside the environment you control. We sign the same NDAs and BAAs your other vendors already use. Nothing moves to personal laptops.

Quality rests on four measured pillars: faithfulness to source documents, task success rate, user friction, and operational cost. Faithfulness checks that every factual claim matches a retrieved chunk. Task success counts completed status checks or bookings without human help. Friction tracks clarifications and dead ends. Cost watches tokens per successful outcome. All four need baselines before launch.

We build a gold set from real hard conversations you supply. Each item carries the expected answer or action and the citation that should appear. The suite runs on every pull request. Scores below the agreed threshold block release. Human raters sample live traffic daily in the first month then weekly once stable. Disagreements become new gold cases so the set keeps growing.

Containment alone is a false idol. A bot that contains by giving vague answers fails the business. We therefore pair containment with a quality sample score. Only sessions that both resolve and stay faithful count as true containment. This dual gate stops gaming. Leadership reviews the combined number not two separate vanity charts.

Exit criteria for pilot are written up front. Typical gates include seventy percent true containment on the top intents, p95 latency under a time you choose, and zero critical security findings. If any gate fails we extend the pilot rather than push live. You hold the go button. Ready means the numbers clear the bar on production-like traffic not on happy-path demos.

Controls start with data minimization and end with auditable logs. Only the fields required for the intent leave the user message into the model prompt. PII redaction runs first for emails, phones, and account numbers. Role based access prevents a public bot from calling admin tools. All secrets live in your vault and rotate on the schedule you already follow.

For healthcare clients we support HIPAA paths through BAAs with model providers that offer them, encryption, access reviews, and detailed audit trails. Retention follows your policy. For defense related work we can keep traffic inside approved networks and avoid public model endpoints entirely when required. SOC2 evidence packs reuse the same logging and change control we already run.

Network rules restrict egress to listed endpoints. Stuck or malformed tool calls fail closed. Session isolation keeps one user from seeing fragments of another. Prompt injection defenses include input length caps and instruction hierarchy that the model must respect. We test known attack phrases on every release. Failures appear in the same quality report as ordinary answer errors.

Clients receive the control matrix in discovery so gaps surface early. Pen test results from your own team can feed the backlog. We never claim perfect security. We claim clear boundaries, rapid patch paths, and evidence that auditors can read without a tour. That package has passed reviews with Virginia operators who already run regulated workloads across the shipyard and clinic markets.