SAVANT / APPLIED INTELLIGENCE 01—05 / BUSINESS SYSTEMS

Applied AI / Defined tasks / Human control

Put intelligence
to work.

Turn repetitive work into useful capacity. Build assistants, knowledge tools and connected workflows around approved data, measurable tasks and clear human decisions.

Scope an AI pilot See a starting scope ↓

Abstract glass forms illustrating connected intelligence

Approved inputs
Task-specific intelligence
Reviewed action

Assess → Pilot → Evaluate → Integrate → Operate

A practical first engagement

Prove one useful workflow.
Then decide what to scale.

For a team with a repetitive task, usable information and a person who can judge whether the output is good enough.

For the first conversation: Describe the repetitive task, the tools involved, who reviews the result and what a good outcome looks like.

Illustrative scope · tailored after discovery

A bounded AI pilot

Workflow & data map
The task, permitted inputs, integrations, approval points and manual fallback.
Pilot & evaluation pack
A focused prototype tested against representative examples, including missing information and failure cases.
Production decision
Acceptance results, cost and integration considerations, and the work required before wider rollout.

Your proposal confirms the deliverables, fees, dependencies and responsibilities before work starts.

The solution architecture

Start with a valuable task.
Build a dependable workflow.

The right first project has usable data, a business owner and a measurable improvement. We assess whether it needs AI, conventional automation, or a simpler process before choosing the technology.

AI for lead qualification & sales

Turn inbound interest into a structured, actionable sales conversation.

Inputs: approved offers, qualification rules, CRM fields and routing ownership
Solution: collect need, budget and timing; summarise inquiries; create tasks and draft follow-ups
Controls: permitted questions, consent, duplicate detection and human handover; no autonomous pricing promises

AI for marketing & content

Give the team a faster route from research and brief to reviewed creative.

Inputs: brand guidelines, audience insights, product facts and approved claims
Solution: content briefs, campaign variations, localisation drafts and repurposing workflows
Controls: source checks, brand review, rights review and approval before publication

Customer support & service assistants

Answer routine questions from approved information and route complex cases to the right person.

Inputs: maintained FAQs, product documents, policies and support categories
Solution: knowledge-based answers, ticket summaries and contextual handover
Controls: access-aware retrieval, source references, uncertainty responses and escalation thresholds

Internal knowledge & team assistants

Make company knowledge useful without making every document visible to everyone.

Inputs: curated manuals, SOPs, product references and permission groups
Solution: searchable answers, onboarding guidance and cited document retrieval
Controls: role-based access, document freshness, restricted topics and audit requirements

Document & finance workflows

Reduce repetitive data entry while preserving accountable review.

Inputs: agreed document types, field definitions and validation rules
Solution: extract invoice or inquiry data, flag missing fields and prepare system entries
Controls: confidence thresholds, reconciliation, reviewer approval; no autonomous payments or tax decisions

Management insight & reporting

Bring commercial data into a clearer decision-making routine.

Inputs: approved CRM, campaign and operational data with defined metrics
Solution: report preparation, exception summaries and natural-language explanations
Controls: traceable calculations, data freshness warnings and verification of material conclusions

Workflow integration & orchestration

Connect the useful parts into a process that works when real exceptions arrive.

CRM, forms, email, support desks and accounting tools, where supported APIs permit
Authentication, structured outputs, retries, deduplication and failure queues
Permission limits, cost controls, monitoring and an operational handover

AI adoption & governance

Help people use the solution consistently and recognise when to intervene.

Acceptable-use guidance, role-specific training and ownership of knowledge updates
Evaluation datasets covering ordinary, ambiguous and adversarial inputs
Release criteria, monitoring, incident escalation and a manual fallback

Illustrative solution blueprints

See the work.
See the controls.

These are example workflows to shape a project brief, not claims of completed client deployments.

Sales desk

An inquiry becomes a prepared conversation

A prospect submits a website inquiry.
The assistant extracts requirements and checks missing details.
CRM rules assign the owner and create a follow-up task.
The salesperson receives a summary and suggested next action.

Human decision: The salesperson validates fit, confirms availability and approves the offer.

Knowledge desk

A question becomes a sourced answer

An authorised team member asks a question.
The system searches only permitted, approved documents.
The answer links back to its supporting sources.
Uncertain or conflicting information is escalated.

Human decision: The document owner resolves gaps; sensitive decisions stay with the responsible professional.

Operations desk

An invoice becomes a reviewed entry

An invoice arrives through the agreed channel.
Required fields are extracted into a structured record.
Duplicates and discrepancies enter an exception queue.
A reviewer approves the entry for the accounting workflow.

Human decision: The finance team validates coding, tax treatment and payment approval.

From brief to delivery

How this work
moves into delivery.

Your proposal identifies deliverables, dependencies, milestones, approvals and the people responsible. Scope and timing follow the actual brief.

01
Assess
Map the task, baseline effort, available data, integration access, privacy needs and expected value. Deliver a prioritised opportunity map and pilot brief.
02
Prove
Build a bounded pilot using approved examples. Test accuracy, unsafe requests, missing information, latency and cost against agreed acceptance criteria.
03
Connect
Integrate only the approved actions. Test permissions, failure recovery, handover and manual fallback before a controlled release.
04
Operate
Train users and owners. Monitor quality and cost, update knowledge, review incidents and agree how future model or provider changes will be evaluated.

What progress looks like

Test quality, time
and operating cost.

Targets are agreed after a baseline review. These are measurement categories, not promised results or historical performance claims.

Commercial questionWhat we measure

Does it do the task correctly?

Task completion, grounded-answer quality, extraction accuracy and escalation quality on a representative evaluation set.

Does it improve the workflow?

Time per completed task, rework, lead response time and user adoption compared with the baseline.

Can it run responsibly?

Unauthorised-action attempts blocked, sensitive-data handling, exception rates and successful fallback.

Is it economically worthwhile?

Cost per successful task, platform and integration costs, maintenance effort and verified capacity released.

Details before decisions

The questions
worth asking.

Clear expectations make for a better engagement.

Which AI tools will you use?

We select models and platforms after reviewing the task, data handling requirements, integrations and budget. The proposal names the selected providers and dependencies. Compatibility is assessed; we do not imply a platform partnership or certification.

Can AI work with WhatsApp, our CRM and email?

Where the official APIs, account permissions and plan support it, a solution can connect these channels. Messaging must respect consent, platform rules and opt-outs. Sensitive actions use defined permissions and human approval; we do not automate unsolicited mass messaging.

Will our data train a public model?

Data processing, retention, regional availability and provider terms are reviewed before selection. The agreed architecture identifies permitted information and settings. Do not send confidential documents through the public inquiry form; project data is shared through approved channels.

Can an assistant act autonomously?

Low-risk, reversible actions can be scoped with strict permissions and monitoring. Publication, contractual commitments, payments and material legal or financial decisions require an explicitly agreed approval process. A manual fallback is included in the operating design.

What do we receive at handover?

The agreed working solution, workflow and integration documentation, configuration and access handover, evaluation results, user guidance, operating responsibilities and any support arrangement. Third-party subscriptions and ongoing usage costs are separately identified.

How long does an AI project take?

A bounded pilot is scoped separately from production integration. Timing depends on access, data quality, security review, technical dependencies and acceptance testing. We agree milestones after assessment instead of promising a universal implementation time.

Your next move

Which task is taking
too much of your team’s time?

Describe one workflow. We will assess whether AI is appropriate and what a meaningful pilot would need.

Scope my AI pilot

Put intelligence to work.

Prove one useful workflow. Then decide what to scale.

A bounded AI pilot

Workflow & data map

Pilot & evaluation pack

Production decision

Start with a valuable task. Build a dependable workflow.