Enterprise AI Consultation & Training

MostcompaniesareexperimentingwithAI.Veryfewhavemadeitactuallychangehowtheirteamswork.

We work with mid-sized companies to integrate AI into real workflows so teams complete tasks faster, automate repetitive work, and produce better outputs. No jargon. No pilot projects that go nowhere.

Book a Free AI Readiness Call

30 mins. We map your top 3 AI opportunities. No commitment.

Every engagement

ROI-First

Consult, Redesign, Train

3 Pillars

50-5,000 employees

Mid-Market

Workflow Transformation

Manual to Autonomous

Legacy Stack

Unstructured Email
Manual Doc Entry

AI Pipeline

AI Research Node
AI Drafting Node
AI Summary Node

What is actually happening inside most organisations right now

Companies are buying AI tools. Employees are still working the same way they always have.

AI tools are installed. Habits are not changed.

ChatGPT is in the browser. Copilot is in Microsoft 365. The AI budget is spent. But emails are still written from scratch, reports still take three hours, and meeting notes are still typed up manually by a junior. The tools exist. The workflows have not changed.

AI becomes another tab, not a way of working.

When AI tools are introduced without workflow redesign and training, employees treat them as a search engine they open it occasionally, ask a vague question, get a generic answer, and go back to doing things the way they always have. Usage rates stay below 20%.

Leadership can see the tools. They cannot see the impact.

The investment in AI licences, tools, and occasional lunch-and-learn sessions is real. What is missing is a measurable change in how fast teams produce outputs, how consistent quality is, and what proportion of repetitive work has been eliminated. There is no ROI because there is no structured adoption. That is what this service is designed to fix.

Random AI experimentation is not an AI strategy. It is the absence of one. The organisations that are pulling ahead are not the ones with the most AI subscriptions - they are the ones where AI is embedded into how work actually gets done, department by department, workflow by workflow.

Three ways we help your organisation move from AI experimentation to AI adoption

[ 01 ]

AI Opportunity Identification

Before any training or workflow redesign, I work with your leadership team to map where AI can create real, measurable business value. Not generic AI use cases from a LinkedIn post specific opportunities inside your marketing, operations, HR, finance, and strategy functions based on how your teams actually work today.

This engagement produces a prioritised AI adoption roadmap: the top 5 to 10 automation and AI-augmentation opportunities ranked by impact on output quality, time saving, and cost reduction, with implementation difficulty and realistic ROI estimates for each.

What we cover

  • Current workflow mapping across target departments
  • Manual task inventory (where is time actually going)
  • AI fit scoring: what is genuinely automatable vs overhyped
  • Tooling assessment: what you already have vs what is actually needed
  • Stakeholder interviews: understanding real bottlenecks, not assumed ones
  • Budget and timeline estimation for each opportunity

What you receive

  • Prioritised AI adoption roadmap document
  • Department-by-department opportunity map
  • Honest assessment of ROI potential for each initiative
  • Recommended tool stack (with rationale, not just a list)
  • 90-day implementation sequence
  • Presentation deck ready for board or senior leadership sign-off

Typical engagement length: 2 weeks. Format: remote workshops + async document review. Deliverable: a written roadmap you own completely.

[ 02 ]

Workflow Redesign

Knowing where AI can help is not enough. The workflows have to change. I work directly with department heads and team leads to redesign specific workflows research, writing, reporting, analysis, documentation, decision-making so AI becomes part of the standard process, not an optional extra.

This is the step most AI training programmes skip. They teach the tool. They do not change the process. I do both. By the end of a workflow redesign engagement, the team has a documented, repeatable AI-integrated way of completing each targeted task not just knowledge of the tool.

Workflows most commonly redesigned

  • Research and market analysis workflows
  • Report and presentation drafting
  • Email and client communication drafting
  • Meeting preparation and follow-up documentation
  • Data analysis and insight generation
  • Content creation and review cycles
  • Proposal and tender writing
  • HR screening and candidate assessment processes

The redesign output

  • Documented AI-integrated workflow for each targeted process
  • Step-by-step process maps showing where and how AI is used
  • Prompt libraries and templates for each workflow
  • Quality control checkpoints built into the new process
  • Time-saving benchmarks (before vs after) so ROI is visible
  • Version controlled in your team's preferred tool (Notion, Confluence, SharePoint)

Typical engagement length: 3 to 6 weeks depending on number of workflows. Format: team workshops + 1:1 sessions with key workflow owners.

[ 03 ]

AI Team Training

The training sessions are not generic AI overviews. They are role-specific, workflow-specific, and immediately applicable. Participants leave each session with prompts they used during the session, workflows they have already changed, and outputs they have already improved not slides about AI capabilities they might try someday.

Training is delivered in small groups (8 to 20 participants) so every participant gets to apply what they learn in real time. Every session is customised to the team's actual work: the marketing team trains on their actual briefs, the finance team trains on their actual reports, the HR team trains on their actual job descriptions.

Training formats available

  • Half-day immersive workshop (3-4 hours, 8-20 participants)
  • Full-day deep-dive (6 hours, cross-functional team)
  • Multi-session programme (4-6 sessions over 4-6 weeks)
  • Leadership AI briefing (90-minute executive session)
  • Train-the-trainer (for L&D teams to deliver internally)
  • Department-specific sprint (focused on one team's workflows)

What participants walk away with

  • Prompt library specific to their role and workflows
  • Documented AI workflow for their 3 most common tasks
  • Quality benchmark: their own before/after output examples
  • Personal AI productivity toolkit (tools, prompts, workflows)
  • Post-session checklist for the first 30 days
  • Access to a shared resource library updated monthly

All training is delivered by the consultant directly not outsourced to associates. Remote delivery available globally. In-person available in India.

[ 04 ]

Automation Workflow Development

In some engagements, the highest-ROI opportunity is not AI augmentation of human work it is the complete elimination of a repetitive manual task. Where this is the case, I build automation workflows that connect your existing systems and remove the manual step entirely.

This is not software development. It is workflow automation using no-code and low-code tools n8n, Make, Zapier, or AI agent frameworks that can be built, deployed, and maintained without a technical team. The result is a process that runs itself, with outputs that feed directly into your existing tools.

What gets automated

  • CRM data entry from email and form submissions
  • Report generation from recurring data sources
  • Internal approval and routing workflows
  • Document creation from structured inputs
  • Meeting summary generation and action item distribution
  • Employee onboarding document collection
  • Social media and content scheduling pipelines
  • Client communication follow-up sequences

Tools used

  • n8n (self-hosted, data-secure, recommended for enterprise)
  • Make (Integromat) large library of pre-built integrations
  • Zapier fastest for simple, well-supported integrations
  • OpenAI / Claude API for AI-augmented automation steps
  • Python scripts for custom logic where required
  • Your existing stack: CRM, ERP, Google Workspace, Microsoft 365

We work with organisations that are serious about AI adoption - not just curious about it

You are the right client if:

You are a mid-sized company with 50 to 5,000 employees where AI has potential but no structure teams are using AI tools individually but there is no organisation-wide approach to adoption.
You are a Head of HR, L&D Director, COO, or senior leader responsible for team productivity and you have been asked to show AI impact not just AI activity.
You have already bought AI tools (Copilot, ChatGPT Enterprise, Gemini, or others) and the usage data is disappointing people are not using them or not using them meaningfully.
You want a measurable output from an AI engagement, not a motivational talk about the future of AI. You want to see productivity numbers change.
You are in a knowledge-work-heavy sector: professional services, financial services, consulting, technology, marketing, media, legal, HR services, or operations-heavy organisations.
You want the teams themselves not just leadership to come out of the engagement with changed habits and documented new workflows.

This may not be the right fit if:

You want a one-hour inspirational AI keynote with no follow-through motivational talks and this structured adoption work are fundamentally different products.
You want a technology implementation project this service is not software development or IT infrastructure. If you need AI systems built, that is a separate BlokMiners service.
You are looking for the cheapest possible AI training this is a specialist, high-contact engagement focused on measurable outcomes, not commodity content delivery.
You need AI adoption across 10,000+ employees in 4 weeks that scale requires a different approach. This service works best with focused teams and department-by-department rollout.

After working together, here is what organisations typically report

Employees completing the same tasks in 30 to 60% less time with measurably better quality outputs

Repetitive manual work automated entirely no longer touching human calendars

More consistent output quality across the team less variation between high performers and average performers

Clear, visible productivity improvements that can be tracked, reported, and presented to leadership

AI workflows documented and replicable new team members can adopt them without additional training

Employees who previously resisted AI now using it confidently in their daily work

Leadership with a clear picture of AI ROI not just usage stats, but output and time metrics

30-60%

Faster task completion

Research, reporting, drafting, analysis

70%+

Repetitive task elimination

In fully automated workflows

< 4 wks

To first measurable change

From engagement start to visible results

3 pillars

Consult, Redesign, Train

End-to-end, not just one layer

Productivity improvements are measured against a baseline established at the start of the engagement.

Before the first session, we document how long key tasks currently take and what the output quality looks like. After the engagement, the same tasks are measured again. The improvement is documented in a report you can present internally.

Typical metrics tracked: time to complete specific tasks (in minutes/hours), output review cycle length (how many rounds of editing before sign-off), error rate in templated outputs, and proportion of a task now completed by AI vs manually.

What organisations stop doing after working together

Manual first drafts of reports and documents

The first draft of every templated output is now AI-generated and edited to final not written from scratch. Time per document: 60 to 90 minutes saved per document.

Manual research and summary compilation

Market research, competitor analysis, regulatory monitoring, and internal knowledge retrieval are handled by AI-powered research workflows. Time per project: 2 to 6 hours saved.

Copy-pasting between systems

Automation workflows eliminate the manual transfer of data between CRM, spreadsheets, email, and reporting tools. Eliminates the most error-prone and time-consuming admin tasks.

Inconsistent communication quality

AI-assisted drafting with team-specific templates and tone guides produces consistent quality regardless of which team member generates the output.

A structured process with clear milestones - not open-ended consulting with no finish line

1

AI Readiness Call (Free, 30 minutes)

We start with a conversation about where your organisation is right now what tools you have, where the friction is, what has been tried before, and what you are actually trying to achieve. I ask specific questions and give you an honest assessment of whether structured AI adoption is the right move for you right now. No pitch, no sales deck. Just a real conversation.

2

Scoping and Proposal (1 week)

Based on the readiness call, I produce a written proposal: specific departments and workflows to address, the engagement format and length, measurable objectives, and a fixed investment amount. Everything is defined before work begins no scope creep, no hourly billing surprises.

3

Discovery and Mapping (1 to 2 weeks)

Stakeholder interviews, workflow documentation review, and a current-state assessment. I map exactly how targeted tasks are done today including the hidden steps, the workarounds, and the pain points that do not appear in any process document. This is the foundation everything else is built on.

4

Redesign, Build, and Train (2 to 8 weeks)

The main engagement: workflow redesign sessions, training workshops, automation builds where applicable. Paced to avoid overwhelming teams typically 2 to 4 hours per week per team. Every session produces a documented output that the team owns and can use the next day.

5

Measurement and Handover (1 week)

We measure against the baseline established in week one. Document the results. Produce a handover report with all workflows, prompt libraries, automation documentation, and recommended next steps. The team is self-sufficient from this point this is not a subscription dependency.

Format options

AI Readiness Audit only roadmap and recommendations, no training: 2 weeks
Single department sprint one team, focused workflows, 3 sessions: 3 to 4 weeks
Full adoption programme multi-department, redesign + training: 6 to 10 weeks
Leadership AI Briefing executive team, 90-minute strategy session
Train-the-Trainer equip your L&D team to deliver internally
Ongoing AI Advisory monthly retainer, ongoing guidance and new workflows

Investment range

Readiness Audit: from ₹1.5 lakh (fixed fee)
Single department sprint: from ₹3 lakh (fixed fee)
Full adoption programme: from ₹8 lakh (scoped per engagement)
Leadership briefing: from ₹75,000 (single session)
Train-the-Trainer: quoted individually
Monthly retainer: from ₹1 lakh per month (minimum 3 months)
All pricing: fixed fee, defined scope. No hourly billing. Invoice on milestone completion.

What is included across all engagement types

Current state workflow mapping

Documentation of how your teams currently complete key tasks the baseline everything is measured against

AI opportunity identification

Ranked shortlist of the highest-ROI automation and AI-augmentation opportunities in your specific organisation

Custom AI adoption roadmap

90-day phased plan with ownership, timelines, and investment estimates for each initiative

Workflow redesign documentation

Step-by-step new workflow maps showing exactly where and how AI is integrated into each process

Role-specific prompt libraries

Collections of tested, refined prompts for each team's most common tasks not generic prompts, specific ones

Live Interactive training workshops

Interactive sessions where participants use AI on their real work during the session not just a demo

Automation workflow builds

Where applicable: no-code automation pipelines that eliminate manual repetitive tasks entirely

Before/after productivity metrics

Documented measurement of time-per-task before and after the evidence of ROI

Post-engagement resource library

All workflows, prompts, and templates compiled into a searchable internal resource teams can update themselves

30-day follow-up check-in

A scheduled follow-up session 30 days after engagement close to review adoption, answer questions, and course-correct

Social Proof

What leadership teams and HR directors say after working together

“We had Microsoft Copilot deployed across 400 employees for six months and the usage data was embarrassing. After the workflow redesign engagement, the same tools produced genuinely different results. We tracked a 40% reduction in first-draft document time across the operations team within three weeks.”

Operations Director — [Company name — B2B services firm, 600 employees], Confidential on request

“The biggest value was not the training itself it was having someone map exactly where AI fits into our actual workflows before training anyone. We had been training on tools without changing the process. The order matters. Results followed almost immediately.”

Head of L&D — [Company name — Professional services, 1,200 employees], Confidential on request

“Our senior team was sceptical. They agreed to a 90-minute leadership briefing as a test. By the end, three of the five directors had identified specific workflows they wanted to change. That turned into a full department rollout. The briefing session more than paid for itself in the first week.”

CEO — [Company name — Mid-market consulting firm, 180 employees], Confidential on request

OpenAIMicrosoft CopilotAnthropic ClaudeGoogle Geminin8nMake
AI training teaches people how to use tools it covers features, prompts, and capabilities. AI adoption consulting goes further: it maps your specific workflows, identifies exactly where AI should be embedded, redesigns the processes, and then trains people on the new way of working. Training without workflow redesign produces short-term usage spikes that fade within weeks. Adoption consulting produces permanent changes to how work gets done.

If your teams are using AI tools and nothing has measurably changed, that is a process problem - not a technology problem.

Book a 30-minute AI readiness call. We will map your top 3 workflow automation opportunities, estimate the productivity gain, and tell you honestly whether a structured adoption programme is the right move for your organisation right now.

30 minutes, flat

Structured conversation. No preamble, no sales deck. We get straight to your specific situation.

No cost, no commitment

The readiness call is free. The proposal is free. You decide whether to proceed after seeing the full scope and investment.

What you will have after the call

A clear picture of where AI can change how your teams work. A rough estimate of the productivity gain available. An honest assessment of whether our approach is the right fit. And a written proposal within 5 business days if you want to move forward.

Book your free AI readiness call

Prefer email first? hello@blokminers.io - reply within 4 business hours.

This conversation is between you and the consultant directly. Not a sales team. Not an automated sequence. A real conversation about your organisation's specific situation.