Your deployed AI systems, kept healthy: monitored, tuned, and governance-reviewed every month.
AED 18.5K/mo
Price
Monthly, cancel any time
Timeline
A monthly retainer for organisations running AI systems in production — roughly 8 senior hours per month spent monitoring uptime, cost, and quality drift, tuning prompts and configs against real usage, and keeping a governance-aware paper trail current. You get a live operations dashboard, a monthly written report, a quarterly governance review, and a reactive WhatsApp/Slack line when something breaks. Built for the period after launch, when an AI workflow quietly stops behaving and nobody notices until it costs you.
Monitoring deployed AI systems: uptime, cost, and quality drift
Monthly prompt and configuration tuning
Quarterly governance review and risk-documentation upkeep
Operations dashboard and monthly reporting
Reactive WhatsApp/Slack incident support
Most AI systems do not fail loudly. A prompt that worked at launch slowly drifts as your data changes; an API price tier shifts and your monthly cost doubles without warning; a model update quietly changes how a workflow answers, and the first you hear of it is a complaint from a broker, a patient coordinator, or an analyst. Without someone watching cost, quality, and the governance paper trail, a working system degrades into a liability — and in a UAE/GCC context, that liability is both operational and data-protection-aware.
Quality drift: outputs that were accurate at launch slowly degrade as inputs and models change
Cost creep: token and API spend climbing unnoticed until the invoice arrives
Stale governance: risk documentation, vendor lists, and approval workflows falling out of date as systems evolve
No owner: the person who built it has moved on, and nobody is accountable for keeping it healthy
A fixed monthly block of roughly 8 senior implementer hours, spent on your live systems rather than meetings. The work splits across monitoring, tuning, governance upkeep, and reactive support — weighted each month toward whatever your systems actually need.
Active monitoring: uptime, cost, and output quality tracked continuously, not spot-checked
Monthly tuning: prompts, retrieval configs, and thresholds adjusted against real usage data
Operations dashboard kept live with cost, volume, error rate, and human-approval rate
Monthly written report on what changed, what drifted, and what we recommend next
Quarterly governance review of risk documentation, vendors, and human-approval workflows
Reactive WhatsApp/Slack line for incidents and quick questions
This is a maintenance and governance retainer, not a build retainer or a law firm. We keep what you have running well and your risk documentation current — we do not ship net-new systems under this tier, and we do not certify, guarantee, or provide legal advice on any regulatory matter.
Net-new builds — scoped and quoted separately under the Build tier
Tool, model, and API subscriptions — billed to you directly by the vendor
Compliance certification or legal advice — we are governance-aware, not a law firm; we keep documentation current and do not guarantee any regulatory outcome
Hard SLA / 24-7 on-call — reactive support is best-effort within business hours
The retainer runs on a predictable monthly cadence so cost and attention are both predictable. You always know what was watched, what was changed, and what is coming.
Continuous: automated monitoring on uptime, cost, and quality drift, with alerts on anomalies
Mid-month: prompt and config tuning applied against the month's real usage data
Month-end: written report and an updated dashboard delivered to your operations lead
As needed: reactive WhatsApp/Slack support for incidents between scheduled work
Quarterly: a deeper governance review layered on top of the normal month
Once a quarter we step back from day-to-day tuning and review the system against its governance posture. This keeps your risk documentation, vendor list, and human-approval workflows aligned with how the system actually behaves now — not how it behaved at launch.
Risk documentation refreshed to match the system's current behaviour and data flows
Vendor and model changes reviewed for data-protection-aware and PDPL-aware implications
Human-approval workflows checked: are the right decisions still routed to a person?
Audit trails verified so AI decisions and approvals remain logged and traceable
A short governance memo your leadership can put in front of a board, investor, or regulator-facing stakeholder
You get a live operations dashboard plus a monthly written report, so AI is no longer a black box your team hopes is working. The dashboard answers the operational questions; the report adds the judgement.
Dashboard: cost over time, request volume, error rate, latency, and human-approval rate at a glance
Quality signals tracked so drift is caught early, not after complaints
Monthly written report: what we changed, what drifted, what we recommend, what to watch
Plain-language summaries an operator or founder can read in five minutes — no jargon required
Real-estate brokerage
Keeps an inquiry-triage automation and listing-drafting workflow tuned as portals, lead volume, and bilingual EN/AR phrasing shift, with approval steps and audit trails kept intact.
Clinic / healthcare admin
Monitors a patient-comms or scheduling assistant for quality drift and cost, with quarterly review of data-protection-aware handling and human-approval points.
Fund / finance operations
Watches a RAG knowledge assistant or ops automation for accuracy and cost, keeping risk documentation and audit trails current for DIFC/ADGM-facing scrutiny.
Family office
Acts as the accountable owner for deployed AI tooling — monitoring, tuning, and a quarterly governance memo leadership can rely on.
~8 hours/month of senior implementer time, scoped to your live systems
Active monitoring on deployed AI: uptime, token/API cost, and output quality drift
Monthly prompt + config tuning based on real usage data, not assumptions
Live operations dashboard tracking cost, volume, error rate, and human-approval rate
Monthly written report: what changed, what drifted, what we tuned, what to watch
Quarterly governance review — risk documentation, vendor changes, and human-approval workflows checked against your current setup
Reactive WhatsApp/Slack support line for incidents and quick questions
Audit-trail review so logging of AI decisions and approvals stays intact as systems change
Operators running one or more AI workflows in production (automation, RAG assistant, ops dashboard)
Founders who built or commissioned an AI system and have no one accountable for keeping it healthy
Real-estate brokerages, clinics, family offices, and fund/finance teams that need a governance-aware paper trail kept current
New build work or net-new systems (scoped separately under the Build tier)
Tool, model, and API subscription costs (billed to you directly by the vendor)
Legal advice or compliance certification — we keep your risk documentation current, we do not certify your AI or guarantee any regulatory outcome
24/7 on-call or hard SLA response times (reactive support is best-effort within business hours)
Build logs, working systems, and field notes from running a portfolio of AI ventures. Sent weekly, never more.