Managed service 05 / 26
Agentic AI
AI that does real work in every department — not a pilot that stalls.
An autonomous system that reasons, plans, decides and acts across your business — one intelligence layer deployed function by function, on clean data, inside explicit governance. There are two ways in: AI built into a Growth Engine module wherever it earns its place, or a standalone agentic AI engagement.
Agentic AI is software that reasons, plans, decides and acts on its own inside your business, rather than waiting to be prompted — and Sentry Digital Services builds it as one governed intelligence layer, deployed department by department, on data we have first assessed and remediated.
What Agentic AI delivers
One intelligence layer
Marketing, sales, support, operations, finance and RevOps — each agent with a defined job and a named owner.
Value needs data
Value is proportional to data quality and depth; we assess and remediate before any agent is deployed.
Governed everywhere
Explicit SLAs, guardrails and human oversight — autonomy where it's safe, escalation where it's not.
Representative stack
OpenAIGPTCodex
Anthropic ClaudeCowork
Cursor
Gemini
Kimi K3
DeepSeekGrok
Pinecone
n8nGenerative, RAG and Agentic
Three different things \u2014 most businesses need more than one.
Models that produce new material on demand — copy, images, code, summaries, replies — from a prompt and general training.
When you need it: When the constraint is production: drafting, translating, summarising or personalising at a volume people cannot sustain.
The model answers from your own documents, data and policies, citing the source, rather than from what it absorbed in training.
When you need it: When answers must be correct and traceable — pricing, contracts, compliance, product detail and support answered from your material, not a confident guess.
Systems that reason, plan and act across your tools — booking, updating records, triggering workflows — rather than only producing text.
When you need it: When the outcome is completed work, not a draft: the task ends with something changed in a real system, under governance and a named owner.
KPIs we move — measured, owned, reported
Every KPI is tied to a named owner and a target agreed up front — so this service is accountable to outcomes, not activity, for every stakeholder who consumes the value.
Capability Maturity — we walk you up the five levels
Operated at Level 5 · Optimising — self-improving, measured and owned. We track this rank and raise it over time. See the five levels →
Why this matters
Functional value, value-stream value — and why it can't be ignored.
Builds governed AI agents that reason and act across your stack — one intelligence layer working inside every department, human-in-the-loop with a named owner.
The leverage multiplier across the whole value stream: it strips labour and latency out of every stage at once, turning capacity from a hiring problem into a software one.
AI is not a future option — competitors are compounding the advantage now. Stand still and you carry a structurally higher cost base and slower cycle time every quarter: a gap that widens, never closes.
The four prerequisites for value
Agentic AI is not a chatbot — it reasons, decides and acts.
Value is proportional to data quality, data depth and the clarity of the rules that govern it. Governance and measurement are the architecture, not an afterthought.
Data Quality
Incomplete data produces unreliable output at speed and scale. We assess and remediate before any agent is deployed.
Data Depth
Deep historical data drives dramatically better decisions. We map and connect the full depth available first.
Tool & System Access
An agent's value is bounded by what it can act within. We design full access mapping for end-to-end tasks.
SLA, Governance & KPIs
Explicit rules for autonomy, review and escalation — with KPIs for accuracy, resolution rate, cost saved and value created.
Agentic AI across the business
Not one use case — one intelligence layer in every department.
An intelligence layer deployed function by function, on top of your unified data. Each agent has a defined job, a defined boundary and a named owner — deployed where data is ready, governed everywhere.
Marketing
Optimises spend, generates content, paces budgets and surfaces next-best-action.
Sales
Scores leads, drafts follow-ups, monitors pipeline health and preps proposals.
Support & CX
Resolves tier-one queries, routes, escalates and watches sentiment 24/7.
Operations
Monitors SLAs, coordinates handoffs and flags bottlenecks before they bite.
Finance
Reconciles, detects anomalies, forecasts cash and assembles board reports.
People & HR
Screens applicants, runs onboarding workflows and answers policy questions.
Data & RevOps
Queries the warehouse, builds reports, checks data quality and alerts on drift.
Leadership
Live KPIs, scenario analysis and decision support — answers on demand.
One data layer · measured & owned
Every service creates data — captured, measured, owned.
Agentic AI doesn’t just run — it generates signal. We land that data in one warehouse and turn it into live KPIs tied to a named owner, so performance is attributable and acted on, never trapped inside a single tool.
Data warehouse
Supabase
Snowflake
Keboola
BigQuery KPIs, dashboards & apps
Plotly
Retool
Apache Superset Platform-agnostic — we connect what you already use and add a warehouse only where it earns its place.
How we select technology
We choose technology last — for the outcomes it has to earn.
Never tech for its own sake. A tool joins the stack only where it measurably protects value, cuts cost or unlocks speed — fit to a designed system, owned where it counts, and measurable from day one. How we select technology →
Speed
Modern, edge-served stacks are sub-second. Slow surfaces cost conversion and SEO every single day.
Cost
Cut licence, hosting and per-task SaaS fees — pay for capability, not lock-in or idle enterprise tiers.
Security
Flat, edge architecture with almost nothing left to attack — fewer moving parts, smaller surface.
Ownership & no lock-in
Composable and self-hosted where it counts — you own the system, not rent someone else’s.
Measurability
Clean data and KPIs baked in — you cannot improve, automate or apply AI to what you cannot measure.
Fit to process
The right tool for a designed system — selected against process readiness, so it amplifies, not adds friction.
How we deliver — the DMAIC method +
How we deliver · DMAIC
Every Agentic AI engagement runs on DMAIC.
Define the goal and its value, measure the baseline, analyse the real constraint, improve with a proven build, then control the gains — so results are predictable, repeatable and defensible, not down to luck.
Agree the goal, value, budget & timescale up front.
Baseline the KPIs above — current state, not guesswork.
Diagnose the real constraint and the solution needed.
Build the chosen solution; prove the uplift.
Lock in the gains; monitor and sustain them.
FAQ
Common questions
What is agentic AI?
Agentic AI is software that reasons, plans, decides and acts on its own inside your business, rather than waiting to be prompted. Sentry builds it as one governed intelligence layer deployed department by department, each agent with a defined job, a named human owner and explicit limits on what it may do.
How is agentic AI different from a chatbot?
A chatbot answers a question and stops. An agentic AI system reasons about a goal, decides what to do, then acts across your systems — creating the record, sending the message, updating the CRM — and reports what it did. The difference is not how it talks; it is whether anything actually happens afterwards.
How much does agentic AI cost with Sentry?
Sentry's managed services start at £3,000 per month, scoped to the work and including selected tool costs. Across an engagement, investment is typically 3–5% of turnover to protect existing value, 5–8% to improve performance, and 8–15% to create new growth — anchored to a financial value model agreed before any significant spend. The initial Discovery session is free and carries no obligation.
What happens first, before anything is built?
Every Sentry engagement opens with a free Discovery session and a Financial Value Model. Discovery produces fourteen structured commercial outputs — the constraints holding growth back, the value at stake in each, and what it would cost to do nothing. Nothing significant is built or invoiced before that model is agreed.
Who is agentic AI right for?
Sentry works with growth-stage businesses of roughly £5m–£100m turnover and 50–500 employees, usually without internal technology leadership, where demand exists but is not converting its full potential. Agentic AI suits organisations in that band with repeatable, decision-heavy work spread across departments — and it suits them badly if the underlying data is not worth acting on yet.
What does Sentry need from us to make agentic AI work?
Sentry needs access to the systems the agents will act in, and a named owner on your side for each agent. It also needs data worth reasoning over: the value an agent creates is proportional to the quality and depth of the data behind it, so Sentry assesses that first and remediates what is not fit before any agent is given authority to act.
How do you stop an AI agent doing something it shouldn't?
Every Sentry agent operates under explicit governance: a defined job, a named human owner, a human-in-the-loop checkpoint on consequential actions, and agreed SLAs and KPIs it is measured against. Authority is granted function by function rather than all at once, so the scope of what any single agent can do stays deliberately narrow.
Where in a business does agentic AI actually get used?
Sentry deploys agents as one intelligence layer across marketing, sales, support and CX, operations, finance, people and HR, data and RevOps, and leadership reporting. It is not a single use case bolted on — each department gets agents with defined jobs, and every service they touch generates data that is captured, measured and owned.
Start here · the free first step
Agentic AI starts the same way every engagement does: with Discovery.
Two distinct moves — a free, no-obligation Discovery Session to find your value at stake, then the Discovery & Blueprint: 14 structured outputs — value model, roadmap and business case — before a pound of delivery is committed.
Engaged alone or as one engine